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This paper investigates retracted articles indexed in the Scientific Electronic Library Online (SciELO) Brazil, using bibliometric techniques to identify the characteristics of these retractions and relevant citation trends. All records of retracted articles from the first record in October 2004 to April 2022 were included. Sixty-seven retractions and 870 citations pre- and post-retraction were analyzed. Results indicate a change of scenario that began in 2015, with recurrences of retracted articles allegedly produced by paper mills. The prevalence of retractions derived from professional misconduct in health research and the frequency of post-retraction citations in health sciences raise concerns in the chain of stakeholders, public health, and scientific development. [ABSTRACT FROM AUTHOR]

The convective hot-air drying technology can cause physicochemical, nutritional, and organoleptic losses in the mango (Mangifera indica). The present Systematic Review was carried out with the objective of comparing mango dehydration technologies to identify the effects on the physicochemical, nutritional, and organoleptic properties of the fruit. Through a review of published scientific and conference papers in the Scopus database, adjusted to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) methodology, a total of 134 documents dated between 2000 and December 6 of 2022 were obtained; 76 of these documents were finally included in the bibliographic and theoretical analysis. Selection parameters emphasizing the relationship between the articles and the research topic, evidenced by including at least one of three dehydration technologies and the fruit of interest with an experimental or theoretical approach to the dehydration subject; review articles and surveys were excluded. Correlation graphs of bibliographic variables were made using the data mining software VantagePoint (version 15.1), which was graphically restructured in Microsoft Excel with the support of statistical analysis. Of the resulting articles, it was found that the countries with authors who participated most in scientific production like India, Brazil, Colombia, the United States, and Thailand, were those related to mango production or importation. Furthermore, the freeze-drying technology allows operating at lower temperatures than convective hot-air drying, contributing to the preservation of ascorbic acid, among other compounds. The refractance window has the shortest operation time to obtain moisture values between 10 and 20%. The dehydrated samples using the refractance window are smooth, homogeneous, non-porous, and comparable to the color obtained with freeze-drying, which is acceptable for industrial applications. [ABSTRACT FROM AUTHOR]

The aim of higher education is to make the student the protagonist of their learning. In this context, the researchers must create appropriate scenarios that enable students to explore and develop critical thinking both independently and cooperatively while making use of information technology. This paper presents a model of pedagogical practice in the subject of Introduction to Research Methodology (IRM) based on the construction of literature maps applying John W. Creswell's research design theory through the use of virtual whiteboards. 120 students from the seventh cycle of the study plan of the School of Architecture of the National University of San Agustín participated. As a result, the model used in this paper enabled students to collect and organize the data necessary to formulate their research and develop critical thinking based on scientific knowledge. In this process, it was possible to reflect on the importance of emphasizing the development of critical and creative thinking skills in order to create literary maps that contribute to the comprehensive education of students. It should be noted that students are obliged to be protagonists in the construction of their knowledge especially in subjects that develop competencies related to scientific research.

To what extent is the destiny of a scientific paper shaped by the cocitation network in which it is involved? What are the social contexts that can explain these structuring? Using bibliometric data, interviews with researchers, and social network analysis, this article proposes a typology based on egocentric cocitation networks that displays a quadruple structuring (before and after publication): polarization, clusterization, atomization, and attrition. It shows that the academic capital of the authors and the intellectual resources of their research are key factors of these destinies, as are the social relations between the authors concerned. The circumstances of the publishing are also correlated with the structuring of the egocentric cocitation networks, showing how socially embedded they are. Finally, the article discusses the contribution of these original networks to the analyze of scientific production and its dynamics. [ABSTRACT FROM AUTHOR]

Purpose: The primary aim of this paper is to illuminate the critical issue of the degree awarding gap in the UK, which significantly impacts students from lower socio-economic backgrounds and minority groups. By conducting a systematic review of existing literature following the PRISMA protocol, this study seeks to uncover the complex web of explanatory factors that mediate the relationship between contextual indicators, institutional culture, and degree awarding disparities. Addressing this gap is vital for promoting social justice, enhancing the economy, safeguarding the reputation of UK universities, and adhering to legal responsibilities. This paper endeavours to provide a comprehensive understanding of the underlying causes of degree awarding gaps and offer evidence-based recommendations for the higher education sector to mitigate these disparities. Design/methodology/approach: This study employs a systematic review design, adhering to the PRISMA protocol, to meticulously analyse the existing body of literature concerning the degree awarding gap in UK higher education. By systematically gathering, evaluating, and synthesizing relevant studies, the review aims to identify and understand the multifaceted factors mediating the link between contextual indicators, institutional culture, and the disparities observed in degree awarding. This methodological approach ensures a rigorous and transparent examination of the literature, enabling the identification of both the breadth and depth of research on the topic. Through this design, the paper aspires to uncover nuanced insights into the mechanisms driving degree awarding gaps. Findings: The review's findings reveal that degree awarding gaps in UK universities are influenced by a constellation of factors, highlighting the complexity of this issue. Key among these are unconscious bias, limited student engagement opportunities with academic staff, institutional racism, inadequate support systems, and a scarcity of social and cultural capital. These factors collectively contribute to significant disparities in degree outcomes, disproportionately disadvantaging students from lower socio-economic backgrounds and minority groups. The evidence suggests that institutional practices and culture play a pivotal role in either exacerbating or alleviating these disparities, indicating the need for targeted interventions to address the root causes of degree awarding gaps. Research limitations/implications: One strength of conducting a systematic review is its rigorous and meticulous nature, which ensures that the process is carefully planned and executed. This comprehensive approach allows for the elimination of biases, as the review systematically gathers and analyses existing literature on the topic. By adhering to a structured methodology, the systematic review enhances the validity and reliability of the findings, providing a robust and unbiased synthesis of the available evidence. This strength lends credibility to the research and reinforces the confidence in the conclusions drawn from the review. Practical implications: The practical implications arising from this information indicate that universities need to address the identified issues directly by implementing supportive strategies and interventions. By doing so, they can create a learning environment that is more inclusive and equitable, allowing all students to unlock their full potential. This may involve measures such as raising awareness about unconscious bias, promoting engagement between academic staff and students, implementing anti-racist policies, establishing comprehensive support systems, and actively fostering social and cultural capital. Such practical actions will contribute to reducing the degree awarding gaps and promoting equal opportunities for all students, ultimately leading to a more equitable and successful educational experience. Social implications: The social implications derived from this information are significant. By implementing supportive strategies and interventions to address the identified issues, universities can contribute to creating a more inclusive and equitable learning environment. This has the potential to have a transformative impact on society by providing equal opportunities for all students to unlock their full potential. By raising awareness about unconscious bias and implementing anti-racist policies, universities can foster a more diverse and inclusive community. Promoting engagement between academic staff and students and establishing comprehensive support systems can enhance social cohesion and create a sense of belonging. Ultimately, these efforts can lead to reduced degree awarding gaps and contribute to a more equitable and successful educational experience, positively influencing broader social equality and cohesion. Originality/value: This paper contributes significantly to the literature by offering a comprehensive, systematic review of the factors contributing to the degree awarding gap in UK higher education, highlighting its originality and value. By focusing on the interplay between contextual indicators, institutional culture, and degree awarding disparities, the study provides novel insights into how these dynamics contribute to educational inequities. Furthermore, the evidence-based recommendations for institutional interventions presented in this paper furnish the higher education sector with actionable strategies to foster a more inclusive and equitable learning environment. This work not only advances academic understanding of degree awarding gaps but also offers practical value to policymakers and educational institutions aiming to enhance social justice in higher education.

The present study is aimed toward examining the attention received by research papers through social and electronic media in business research. In recent years, altmetrics has emerged as a complementary measure of the impact of research works besides citation analysis and bibliometrics. Using the altmetric attention score (AAS) the paper is the first research of its kind to shed light on the characteristics of 100 papers receiving the highest online attention. Various predictors of online engagement with articles in business research journals having an impact factor greater than 6 are discussed. Data was collected from the Dimensions.ai database and analyzed using R statistical software. It is found that the Journal of Business Ethics contributed maximum papers with the highest AAS followed by the Journal of Business Research. Using the Kruskal-Wallis rank-sum test it was determined that AAS in business research is dependent upon article type, topics, and journal of publication. Most of the papers in high impact factor business journals have been contributed by the authors of USA, UK and China. [ABSTRACT FROM AUTHOR]

To supplement the quantitative portrait of Ukrainian Economics discipline with the results of gender and author ordering analysis at the level of individual authors, special methods of working with bibliographic data with a predominant share of non-English authors are used. The properties of gender mixing, the likelihood of male and female authors occupying the first position in the authorship list, as well as the arrangements of names are studied. A data set containing bibliographic records related to Ukrainian journal publications in the field of Economics is constructed using Crossref metadata. Partial semi-automatic disambiguation of authors' names is performed. First names, along with gender-specific ethnic surnames, are used for gender disambiguation required for further comparative gender analysis. Random reshuffling of data is used to determine the impact of gender correlations. To assess the level of alphabetization for our data set, both Latin and Cyrillic versions of names are taken into account. The lack of well-structured metadata and the poor use of digital identifiers lead to numerous problems with automatization of bibliographic data pre-processing, especially in the case of publications by non-Western authors. The described stages for working with such specific data help to work at the level of authors and analyse, in particular, gender issues. Despite the larger number of female authors, gender equality is more likely to be reported at the individual level for the discipline of Ukrainian Economics. The tendencies towards collaborative or solo-publications and gender mixing patterns are found to be dependent on the journal: the differences for publications indexed in Scopus and/or Web of Science databases are found. It has also been found that Ukrainian Economics research is characterized by rather a non-alphabetical order of authors. Only partial authors' name disambiguation is performed in a semi-automatic way. Gender labels can be derived only for authors declared by full First names or gender-specific Last names. The typical features of Ukrainian Economic discipline can be used to perform a comparison with other countries and disciplines, to develop an informed-based assessment procedure at the national level. The proposed way of processing publication data can be borrowed to enrich metadata about other research disciplines, especially for non-English speaking countries. To our knowledge, this is the first large-scale quantitative study of Ukrainian Economic discipline. The results obtained are valuable not only at the national level, but also contribute to general knowledge about Economic research, gender issues, and authors' names ordering. An example of the use of Crossref data is provided, while this data source is still less used due to a number of drawbacks. Here, for the first time, attention is drawn to the explicit use of the features of the Slavic authors' names. [ABSTRACT FROM AUTHOR]

Objective: To assess the overall trends in the development and citation impact of high‐impact papers in nursing research worldwide to gain insight into the focus areas of nursing research. Background: Bibliometric method is proved to be effective in analysing the papers' characteristics, and it gained considerable interest from the scientific community in recent years. An analysis of the characteristics and intrinsic patterns of high‐impact papers in nursing research will provide an objective reflection of the research hot spots. Nursing managers can pointedly increase funding amount and strengthen research cooperation in order to put the scientific results into management practice. Methods: Bibliometric methods and visualization software were used to comprehensively analyse high‐impact papers in nursing research in terms of development trends, countries/regions, distribution of subject areas, research institutes, collaborative networks and subject terms. Results: There were 6,886 papers between 2008 and 2018. The number of papers increased from 528 in 2008 to 723 in 2015, and then remained above 600 in 2016 and 2017. These papers were mainly distributed in nursing, oncology, paediatrics, gynaecology, teaching and education, and cardiac and cardiovascular systems and were cited by 128,845 papers that came from 89 Web of Science subject areas. Papers in nursing research accounted for the largest share of these citations. The top five countries in the world in terms of the number of high‐impact papers were the United States, Australia, the United Kingdom, Canada and Sweden. The research institutions with the highest number of high‐impact papers worldwide were the University of California System, the University of Pennsylvania, the University of North Carolina, the University of London and the University of Technology Sydney. In this data set, it was shown that research collaborative circles have been formed in the United States, Australia, Canada and Europe; the subject‐term analysis indicated that 'women' and 'students' have always been high‐interest populations for high‐impact papers and that cancer is still one of the greatest threats to human health. Furthermore, the subject terms of high‐impact papers in nursing research have gradually evolved from 'disease' and 'therapy' to 'symptoms'. Conclusion: In recent years, the number of high‐impact papers published each year in nursing research has grown over time. Nursing has been shown to be a highly specialized subject, and the majority of its high‐impact papers have been published by research institutions. Although cross‐regional collaborations are beginning to emerge, there is much room for improvement in this regard. Finally, women, students, cancer and symptomatic care are the current focus areas in nursing research. Implications for Nursing Management: This study informs nursing managers within the nursing research field about subject areas, collaborative networks and hot topics. It is beneficial to pay attention to studies, manage scientific outputs, allocate resources, seek cooperation and improve the work efficiency of scientific research management. [ABSTRACT FROM AUTHOR]

To supplement the quantitative portrait of Ukrainian Economics discipline with the results of gender and author ordering analysis at the level of individual authors, special methods of working with bibliographic data with a predominant share of non-English authors are used. The properties of gender mixing, the likelihood of male and female authors occupying the first position in the authorship list, as well as the arrangements of names are studied. A data set containing bibliographic records related to Ukrainian journal publications in the field of Economics is constructed using Crossref metadata. Partial semi-automatic disambiguation of authors' names is performed. First names, along with gender-specific ethnic surnames, are used for gender disambiguation required for further comparative gender analysis. Random reshuffling of data is used to determine the impact of gender correlations. To assess the level of alphabetization for our data set, both Latin and Cyrillic versions of names are taken into account. The lack of well-structured metadata and the poor use of digital identifiers lead to numerous problems with automatization of bibliographic data pre-processing, especially in the case of publications by non-Western authors. The described stages for working with such specific data help to work at the level of authors and analyse, in particular, gender issues. Despite the larger number of female authors, gender equality is more likely to be reported at the individual level for the discipline of Ukrainian Economics. The tendencies towards collaborative or solo-publications and gender mixing patterns are found to be dependent on the journal: the differences for publications indexed in Scopus and/or Web of Science databases are found. It has also been found that Ukrainian Economics research is characterized by rather a non-alphabetical order of authors. Only partial authors' name disambiguation is performed in a semi-automatic way. Gender labels can be derived only for authors declared by full First names or gender-specific Last names. The typical features of Ukrainian Economic discipline can be used to perform a comparison with other countries and disciplines, to develop an informed-based assessment procedure at the national level. The proposed way of processing publication data can be borrowed to enrich metadata about other research disciplines, especially for non-English speaking countries. To our knowledge, this is the first large-scale quantitative study of Ukrainian Economic discipline. The results obtained are valuable not only at the national level, but also contribute to general knowledge about Economic research, gender issues, and authors' names ordering. An example of the use of Crossref data is provided, while this data source is still less used due to a number of drawbacks. Here, for the first time, attention is drawn to the explicit use of the features of the Slavic authors' names. [ABSTRACT FROM AUTHOR]

To generate a research overview of digital banking, we did a bibliometric analysis. In our bibliometric analysis, we identified 2475 papers about digital banking that were published in the previous 10 years (2013–2023) from 1492 different sources under the direction of 6777 academics. The bibliographic information was gathered using the Scopus database. The dataset was examined using the bibliometric R program Biblioshiny. The number of digital banking research publications published each year, the most relevant author, the most cited articles, thematic maps, and trending topics are all listed. A keyword analysis showed that "blockchain", "security", "digital banking", and "digital storage" appeared most often. The research results will be significant to scholars, researchers, and policymakers in banking, as the study showed the roadmap and pathways to scientifically understanding current and future research trends. [ABSTRACT FROM AUTHOR]

Purpose: To analyze the top 100 most-cited papers on pars intravitreal injections. Methods: Literature search using the bibliographic databases of the ISI Web of Knowledge for all types of publications on intravitreal injections published between 1965 and 2019 in peer-reviewed journals. Results: Eighty-three of the top 100 papers on intravitreal injections were published in ophthalmology journals, their majority in the top five Q1 leading journals in the field. They originated from 16 different countries, predominantly from the USA (n=52), and were all published in English. These manuscripts cover a wide spectrum of topics but were mostly focused on retinal diseases (n=60) and the use of anti-VEGF or steroid agents (n=75). Discussion: This bibliographic study provides a unique perspective on the evolution and assimilation of intravitreal injections, from their introduction, through their present role as the most common therapeutic procedure in ophthalmology, to future developments. [ABSTRACT FROM AUTHOR]

The amount of scientific papers is growing together with the development of science itself; but, although there is an unprecedented availability of large citation indexes, some daily activities of researchers remain time‐consuming and poorly supported. In this paper, we present Visual Bibliographies (VisualBib), a real‐time visual platform, designed using a zz‐structure‐based model for linking metadata and a narrative, visual approach for showing bibliographies. VisualBib represents a usable, advanced, and visual tool, which simplifies the management of bibliographies, supports a core set of bibliographic tasks, and helps researchers during complex analyses on scientific bibliographies. We present the variety of metadata formats and visualization methods, proposing two use case scenarios. The maturity of the system implementation allowed us two studies, for evaluating both the effectiveness of VisualBib in providing answers to specific data analysis tasks and to support experienced users during real‐life uses. The results of the evaluation are positive and describe an effective and usable platform. [ABSTRACT FROM AUTHOR]

The number of scientific publications about serious games has exponentially increased, often surpassing human limitations in processing such a large volume of information. Consequently, the importance of frameworks for summarising such fast-expanding literature has also grown. This paper draws a panorama of serious game research streams, focusing on higher education in engineering and management. The research design involves a systematic review using PRISMA guidelines, along with bibliometric and content analyses. The sample comprises 701 documents collected from both Scopus and Web of Science databases. For supporting bibliometric analyses, "Bibliometrix" and "Biblioshiny" tools are employed. In addition, a coding schema is developed for in-depth analysis of 701 documents selected according to the inclusion criteria. In short, the literature on serious games for engineering and management education grows more rapidly than modern science, following a globalised, collaborative and context-based trajectory. The results reveal five main research streams: "game design guidelines," "game design cases," "game experiment guidelines," "game experiment cases" and "generalists." These streams are summarised in a proposed framework. Cross-tabulation and statistical analyses conducted in "SPSS Statistics" identify the key relationships amongst the research streams. Finally, opportunities to investigate serious games for sustainable development education arise, and there is a need for future efforts to formalise the framework classification algorithm.

These are available at: https://www.iaea.org/resources/archives/access/visits Footnotes 1 The essays in this special issue derive in part from research conducted using historical holdings of the IAEA, which has provided the following description of its documentation practices. IAEA, 1979 With the digital transformation of the 1990s, the IAEA began dealing with the mass of electronic data generated in the course of doing business. When it comes to global intergovernmental organisations such as the International Atomic Energy Agency (IAEA), the world's nuclear watchdog, its importance is further exemplified when the information stored is of such importance to so many stakeholders. [Extracted from the article]

Purpose: The purpose of this paper is to examine the quantum of research papers and the citations these papers received for the plant Jatropha curcas Linn. Design/methodology/approach: Articles published on Jatropha curcas Linn during 1987–2016 were downloaded from Science Citation Index-Expanded (SCIE) by using the keyword Jatropha* on October 18, 2017. The search resulted in 4,276 records in all. The authors analyzed only 4,111 documents which were published as review articles, research articles and proceeding papers using the complete count methodology. The data were analyzed to examine the pattern of growth of output, most prolific countries, institutions and authors. It also identified highly cited authors and journals used for communicating research results. Findings: The study indicates that India, China and Brazil are the main contributors to the field and the pattern of growth indicates a steep rise in publication output especially in the last block of 2015–2016. Most of the prolific institutions and authors were also located in these countries. However, the impact of output was different from the pattern of output. The publication output is scattered in more than 1,000 journals published from different parts of the globe. Originality/value: The plant of Jatropha curcas Linn is a highly useful plant as a source of biofuel energy. This is the second study in English language on this plant and has used a large set of publication data as compared to the first. The findings of the study may be useful for policy makers as well as for researchers working in the field of biofuel energy. [ABSTRACT FROM AUTHOR]

Citation classics represent the highest impact work in a given field. We aim to identify and analyze the most frequently cited papers on brucellosis. We used the databases Scopus and Web of Science to determine the most frequently cited papers. The most cited fifty papers in each database were identified. We then ranked the papers according to the highest citation count recorded from any of the two databases. The most frequently cited paper received 964 citations and was by DelVecchio VG et al. reporting the complete genomic sequencing of Brucella melitensis. The papers were published in 30 journals led by the “Infection and Immunity” journal and the “Veterinary Microbiology” journal (each had 7 papers). Citation classics in brucellosis were all in English except one in French and were mostly of basic science type. In addition, we noticed that 12 articles that were identified among the highest fifty articles in one database were missed by the other database and vice versa. Therefore, we suggest that searching in more than one database would detect additional citation classics. [ABSTRACT FROM AUTHOR]

Compared to previous studies that generally detect scientific breakthroughs based on citation patterns, this article proposes a knowledge entity‐based disruption indicator by quantifying the change of knowledge directly created and inspired by scientific breakthroughs to their evolutionary trajectories. Two groups of analytic units, including MeSH terms and their co‐occurrences, are employed independently by the indicator to measure the change of knowledge. The effectiveness of the proposed indicators was evaluated against the four datasets of scientific breakthroughs derived from four recognition trials. In terms of identifying scientific breakthroughs, the proposed disruption indicator based on MeSH co‐occurrences outperforms that based on MeSH terms and three earlier citation‐based disruption indicators. It is also shown that in our indicator, measuring the change of knowledge inspired by the focal paper in its evolutionary trajectory is a larger contributor than measuring the change created by the focal paper. Our study not only offers empirical insights into conceptual understanding of scientific breakthroughs but also provides practical disruption indicator for scientists and science management agencies searching for valuable research. [ABSTRACT FROM AUTHOR]

Background: Artificial intelligence (AI) is increasingly used for prevention, diagnosis, monitoring, and treatment of cardiovascular diseases. Despite the potential for AI to improve care, ethical concerns and mistrust in AI-enabled healthcare exist among the public and medical community. Given the rapid and transformative recent growth of AI in cardiovascular care, to inform practice guidelines and regulatory policies that facilitate ethical and trustworthy use of AI in medicine, we conducted a literature review to identify key ethical and trust barriers and facilitators from patients' and healthcare providers' perspectives when using AI in cardiovascular care. Methods: In this rapid literature review, we searched six bibliographic databases to identify publications discussing transparency, trust, or ethical concerns (outcomes of interest) associated with AI-based medical devices (interventions of interest) in the context of cardiovascular care from patients', caregivers', or healthcare providers' perspectives. The search was completed on May 24, 2022 and was not limited by date or study design. Results: After reviewing 7,925 papers from six databases and 3,603 papers identified through citation chasing, 145 articles were included. Key ethical concerns included privacy, security, or confidentiality issues (n = 59, 40.7%); risk of healthcare inequity or disparity (n = 36, 24.8%); risk of patient harm (n = 24, 16.6%); accountability and responsibility concerns (n = 19, 13.1%); problematic informed consent and potential loss of patient autonomy (n = 17, 11.7%); and issues related to data ownership (n = 11, 7.6%). Major trust barriers included data privacy and security concerns, potential risk of patient harm, perceived lack of transparency about AI-enabled medical devices, concerns about AI replacing human aspects of care, concerns about prioritizing profits over patients' interests, and lack of robust evidence related to the accuracy and limitations of AI-based medical devices. Ethical and trust facilitators included ensuring data privacy and data validation, conducting clinical trials in diverse cohorts, providing appropriate training and resources to patients and healthcare providers and improving their engagement in different phases of AI implementation, and establishing further regulatory oversights. Conclusion: This review revealed key ethical concerns and barriers and facilitators of trust in AI-enabled medical devices from patients' and healthcare providers' perspectives. Successful integration of AI into cardiovascular care necessitates implementation of mitigation strategies. These strategies should focus on enhanced regulatory oversight on the use of patient data and promoting transparency around the use of AI in patient care. [ABSTRACT FROM AUTHOR]

Systematic literature reviews are common in social research for integrating and synthesising existing research. This paper argues that the outcomes of such reviews are affected by the choice of bibliographic databases. It presents evidence of substantial variation across three large electronic databases (Scopus, Web of Science and EBSCO) in a study on employee retention and staff turnover. It considers the specific articles, numbers returned, numbers shared across databases and perceived quality of journals hosting the retrieved articles. Results show that only 130 articles (5.7% of 2267 retrieved) were found common to all three databases, suggesting that decisions on how and where literature is retrieved can substantially affect the results of systematic reviews and meta-analyses. The findings caution against the use of single databases and claiming comprehensiveness. The paper reflects on how additional literature search methods (e.g., contacting experts, citation indices) and their sequence of use can affect systematic review quality.

The present paper makes a systematic review of 131 articles on research productivity basing upon a model developed by Denyer and Tranfield. The current review paper analyzed the quantitative and qualitative dimensions of the sample literature in the field of research productivity. The quantitative analysis incorporates the chronological distribution of articles, keyword wise distribution, form wise distribution, discipline wise distribution, publisher wise distribution, data sources used in the articles, most prolific journals of the publications and qualitative dimensions studied are top-cited articles and all the metrices used in these articles. The paper is based upon literature retrieved from Scopus bibliographic database and other online databases like Emerald, Taylor & Francis, Google Scholar, JSTOR, ProQuest, and EBSCO for full-text articles. It was revealed that there is significant growth in the number of articles during the fourth decade (2011–2020) whereas the highest numbers of citations (1530) have been received during the third decade from 2001 to 2010. Journal articles appeared to be the predominant source of information. A wide range of metrices found to be used in the sample literature to analyze the research productivity namely basic metrics, metrics dealing with growth, collaboration and metrics at institute level and author level metrics. It will serve as a reference tool to the scholars and practitioners in the field who will be acquainted with the publications on research productivity as well as various metrices, laws of bibliometrics, statistical tools, used in the articles. [ABSTRACT FROM AUTHOR]

As it provides a firm foundation for advancing knowledge, a solid literature review is a critical feature of any academic investigation. Yet, there are several challenges in performing literature reviews including: (1) lack of access to the literature because of costs, (2) fracturing of the literature into many sources, lack of access and comprehensive coverage in many databases and search engines, and (3) the use of proprietary software lock-in strategies for bibliographic software, which can make porting literature reviews between organizations cumbersome and costly. These challenges often result in poor quality literature reviews completed by a single researcher unfamiliar with the approaches to the same research in other sub-fields and static reviews that are often lost to the scientific community. In this paper, an open source approach will be expanded to the application of improving the quality of literature reviews by providing best practices. Although there are many types and goals of literature reviews, it is found that all of them can be improved using a tool chain of free and open source software (FOSS) and methods. Specifically, this paper will provide a clear framework for (1) comprehensive searching and obtaining access to the literature, (2) the use of FOSS for all steps including browsing, bibliographic software, and writing and (3) documenting a literature review to encourage collaboration of a dynamic document that lives into the future. This approach solves the current challenges of literature reviews and provides benefits of lower labor and economic costs, improved researcher control, and increased potential for collaboration. Finally, the challenges of using this approach and methods to overcome them are reviewed and future work is described.

The ability of evolutionary algorithms (EAs) to manage a set of solutions, even attending multiple objectives, as well as their ability to optimize any kinds of values, allows them to fit very well some parts of the data‐mining (DM) problems, whose native learning techniques usually associated with the inherent DM problem are not able to solve. Therefore, EAs are widely applied to complement or even replace the classical DM learning approaches. This application of EAs to the DM process is usually named evolutionary data mining (EDM). This contribution aims at showing a glimpse of the EDM field current state by focusing on the most cited papers published in the last 10 years. A descriptive analysis of the papers together with a bibliographic study is performed in order to differentiate past and current trends and to easily focus on significant further developments. Results show that, in the case of the most cited studied papers, the use of EAs on DM tasks is mainly focused on enhancing the classical learning techniques, thus completely replacing them only when it is directly motivated by the nature of problem. The bibliographic analysis is also showing that even though EAs were the main techniques used for EDM, the emergent evolutionary computation algorithms (swarm intelligence, etc.) are becoming nowadays the most cited and used ones. Based on all these facts, some potential further directions are also discussed. WIREs Data Mining Knowl Discov 2018, 8:e1239. doi: 10.1002/widm.1239 This article is categorized under: Fundamental Concepts of Data and Knowledge > Knowledge Representation Technologies > Computational Intelligence Technologies > Classification Technologies > Prediction [ABSTRACT FROM AUTHOR]

Background: The most‐cited papers help to better understand important characteristics of this specific science field. Objective: To analyse the 100 most‐cited papers in the field of Paediatric Dentistry. Design: A search of the most‐cited papers in Paediatric Dentistry journals was performed using journals included in the category of 'Dentistry, Oral Surgery & Medicine' in the Thompson Reuters Web of Science citation indexing database up to December 2018. Two researchers performed the data extraction, which included: number of citations, title, authors, country, year, journals, study design, and thematic area. Results: The number of citations of each paper included in the top 100 most‐cited ranged from 42 to 182 (mean: 64.51). Seven papers were cited more than 100 times. Most of the papers were published in the International Journal of Paediatric Dentistry (36%), between 2006 and 2015 (55%), with a cross‐sectional design (39%). Twenty‐six authors participated in two or more papers. The countries with the highest number of most‐cited papers were the United States (25%), Australia (11%), and Brazil (9%). Cariology was the most studied thematic area. Conclusion: The evaluation of the top 100 most‐cited papers in Paediatric Dentistry journals allowed for a better understanding of the world scenario regarding this research field. [ABSTRACT FROM AUTHOR]

Aim: To identify and analyse the 100 most cited papers on stress in nurses published in nursing journals. Background: The number of citations an article receives is an index of its impact on the scientific community. An analysis of the most cited articles on stress in nursing would allow us to identify the most important articles and to obtain information about this area of knowledge. Design: A retrospective bibliometric analysis. Data sources: In 2016, 111 journals belonging to the "nursing" category were identified in the Science and Social Science Citation Index. A search was performed of the Science Core Collection Website for articles on stress published in these journals. Review methods: The topic, type of article, publishing journal, countries and institutions of origin and year of publication were extracted from the articles. The impact factor, immediacy index, journal country and publisher and h index were collected from the Institute for Scientific Information. The citation density, citation tendency and Bradford's law were calculated. Results: They identified articles were mostly empirical quantitative studies with a transversal design, published from 1975 - 2011 in 23 journals. They were signed by 233 authors, most of whom are English-speaking from the USA and UK. The core distribution of the publications comprises a single journal, the Journal of Advanced Nursing. Conclusion: The study of stress in nursing has shown increased visibility and recognition each decade. The most recent articles have the highest number of citations, are the highest in rank and have the higher citation densities. [ABSTRACT FROM AUTHOR]

Purpose: Nanosensors have a wide range of applications because of their high sensitivity, selectivity and specificity. In the past decade, extensive and pervasive research related to nanosensors has led to significant progress in diverse fields, such as biomedicine, environmental monitoring and industrial process control. This led to better and more efficient detection and monitoring of physical and chemical properties at better resolution, opening new horizons in the development of novel technologies and applications for improved human health, environment protection, enhanced industrial processes, etc. Design/methodology/approach: In this paper, the authors discuss the application of citation network analysis in the field of nanosensor research and development. Cluster analysis was carried out using papers published in the field of nanomaterial-based sensor research, and an in-depth analysis was carried out to identify significant clusters. The purpose of this study is to provide researchers to identify a pathway to the emerging areas in the field of nanosensor research. The authors have illustrated the knowledge base, knowledge domain and knowledge progression of nanosensor research using the citation analysis based on 3,636 Science Citation Index papers published during the period 2011 to 2021. Findings: Among these papers, the bibliographic study identified 809 significant research publications, 11 clusters, 556 research sector keywords, 1,296 main authors, 139 referenced authors, 63 nations, 206 organizations and 42 journals. The authors have identified single quantum dot (QD)-based nanosensor for biological applications, carbon dot-based nanosensors, self-powered triboelectric nanogenerator-based nanosensor and genetically encoded nanosensor as the significant research hotspots that came to the fore in recent years. The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development. Research limitations/implications: The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development. Originality/value: This is a novel bibliometric analysis in the area of "nanomaterial based sensor," which is carried out in CiteSpace software. [ABSTRACT FROM AUTHOR]

To assess the qualitative and quantitative development of subjects especially science subjects, Scientometrics studies are undertaken. The present paper is an attempt to assess the qualitative and quantitative research performance of two Indian institutes of Technology, namely IIT Bhubaneswar and III Patna. The study assesses 2045 papers published by scientists of Indian Institutes of Technology Bhubaneswar and 1977 papers published by scientists of Indian Institutes of Technology Patna respectively during the period 2009 to 2018, research output is retrieved and indexed in the SCOPUS bibliographic database. The study indicates that low publication output is observed in the initial years but it gradually picks its momentum from the year 2012 onwards. Almost all the most common journals were published in the advanced countries of the World. The number of papers in high and very high impact factor journals for IITBBSR is slightly higher than the IIT Patna. [ABSTRACT FROM AUTHOR]

A quantitative and qualitative assessment of global research output (2016) on the "Rhodiola rosea" plant based on select bibliometric indicators, using Scopus database covering period 1993-2018, is presented here. Analyzed data on a series of bibliometric measures, like average annual growth, citations per paper, international collaborative papers, relative citation index, activity index, top productive countries, organizations, authors, journals and highly cited papers. The global publications registered an annual average growth rate of 12.97% and its citation impact averaged to 17.59 citations per paper. China and USA together account for more than 36% share of global output on Rhodiola rosea, whereas other 8 top ranking countries accounted each for global share between 4.06% and 7.60% during 2003-18. 83.04% global publication share and 89.95% global citation share has been contributed by top 10 countries during 2003-18. Sweden (2.78), Canada (1.17) and USA (1.11) registered the highest relative citation index among top 10 countries during 2003-18. Swedish Herbal Institute, Askloster, Sweden (21 papers), Medical University of Warsaw, Poland (14 papers), Corvinus University of Budapest, Hungary were the three the most productive organizations and Z. Gyorgy and A. Panossian (18 papers each) and G. Wikman (14 papers) were the three top most productive authors. Phytomedicine (25 papers), Phytotherapy Research (21 papers) and Evidence-based Complementary and Alternate Medicine (15 papers) were the three leading journals contributing research in this area. [ABSTRACT FROM AUTHOR]

International child protection standards aim to ensure that non-governmental organisations 'do no harm' but the current approach to reporting abuse may actually leave children unprotected and, in some cases, expose them to greater risk. This discussion paper gives voice to concerns raised by local practitioners in Africa and places them within the context of available research in order to stimulate a debate aimed at enhancing the impact of current safeguards. Drawing on systems theory and the work of Pierre Bourdieu, the article illustrates how the current model of reporting often fails to take into account the significant disconnect between formal and informal protection mechanisms, as well as the unpredictability of individual decision-making. Examples from research and practitioner experience illustrate how reporting procedures may provide a route to protection which is impractical and undesirable to local people, and may ultimately be unhelpful to local practitioners. The article calls for further research to inform changes to the current approach and for a review of funding requirements in order that local organisations have greater scope to engage communities in the co-creation of procedures, thereby indigenising responses to ensure that they are realistic and genuinely respond to the specificities of children's lives. Key Practitioner Messages Formal reporting procedures may actually offer routes to protection that are inaccessible or unacceptable to local people., Reporting procedures should be developed with a much greater participation of local people., There is a need for investment in piloting and implementing locally led approaches to capacity building., The engagement of donors is critical in order to develop a new approach to evaluating 'child safe' organisations. [ABSTRACT FROM AUTHOR]

Purpose- The purpose of this paper is to analyze bibliometrics and visualization of Library Philosophy and Practice (LPP). Design/methodology/approach-Scopus citation database was used to gather the data. Using advanced search in the database, bibliographic data of the articles published in the journal over the past twenty years were extracted. Then, the analysis was performed using bibliometric indicators and some applications, such as Microsoft Excel and VOS viewer. Findings- The data indicated that the process of publications (R²=0.69) and citations received by papers (R²=0.85) was ascending. The paper of W. Fang (2007), "Using Google analytics for improving library website content and design: A case study", is the most highly cited paper of LPP. Bhatti, R. (19 papers), Nigeria (549 papers), University of Ibadan (78 papers) are the most productive and influential authors, universities, and countries in LPP, respectively. Keyword clustering of published papers indicates that the most frequent keywords can fall into five clusters and the first and most important cluster is "bibliometrics study". In addition, the analysis of references of LPP articles showed that "Library Philosophy and Practice" "Scientometrics", and "The Electronic Library" are the top journals, Aina, I., Wilson, T.D.O., and Mahmood, K. are the top authors cited in LPP. Practical implications- The bibliometrics analysis and LPP visualization can be a useful for either library and information science (LIS) scholars or the people interested in bibliometric studies; therefore, they can use it as a pattern to review other journals. Originality/value- This study suggests a general outlook for the performance of an international LIS journal using bibliometric indicators and visualization. The results of this study will be beneficial for all the LIS authors and researchers around the world. [ABSTRACT FROM AUTHOR]

Although chatbots such as ChatGPT can facilitate cost-effective text generation and editing, factually incorrect responses (hallucinations) limit their utility. This study evaluates one particular type of hallucination: fabricated bibliographic citations that do not represent actual scholarly works. We used ChatGPT-3.5 and ChatGPT-4 to produce short literature reviews on 42 multidisciplinary topics, compiling data on the 636 bibliographic citations (references) found in the 84 papers. We then searched multiple databases and websites to determine the prevalence of fabricated citations, to identify errors in the citations to non-fabricated papers, and to evaluate adherence to APA citation format. Within this set of documents, 55% of the GPT-3.5 citations but just 18% of the GPT-4 citations are fabricated. Likewise, 43% of the real (non-fabricated) GPT-3.5 citations but just 24% of the real GPT-4 citations include substantive citation errors. Although GPT-4 is a major improvement over GPT-3.5, problems remain. [ABSTRACT FROM AUTHOR]

Aim/Purpose: The purpose of this article is to provide an overview and analysis of the emerging research landscape surrounding the integration of ChatGPT into education. The main problem appears to be that this is a new, rapidly developing research area for which there is no comprehensive synthesis of the current literature. The aim of the article is to fill this gap by conducting a timely bibliometric study to map publication trends, influential works, themes, and opportunities, thus representing the growth and structure of ChatGPT educational research. Background: This article addresses the issue of the lack of a comprehensive synthesis of the new research on ChatGPT in education by conducting a bibliometric analysis. Specifically, the authors use statistical and network analysis techniques to examine the patterns of publication, citation, and keywords and map the growth, contributions, themes, structure, and opportunities in this evolving field. The bibliometric approach provides a comprehensive, evidence-based overview of the current state of the literature to uncover trends and gaps and help researchers improve their understanding of appropriate and effective applications of ChatGPT in educational contexts. Methodology: The authors used bibliometric analysis as the primary method to summarize the new research on ChatGPT in education. We searched the database of the Web of Science Core Collection to find 51 relevant documents from 2023 that included ChatGPT in the title and were classified as 'educational research.' The sample consisted of these 51 documents, including articles, early access articles, editorials, reviews, and letters. Statistical techniques examined publication, citation, and keyword patterns. Network analysis visualized citation and cooccurrence networks to reveal intellectual structure. The multifaceted bibliometric approach allowed a comprehensive study of the sample from a productive, conceptual, and intellectual perspective. Contribution: This article conducts comprehensive bibliometric analysis of this emerging research area and synthesizes publication, citation, and keyword data to map the growth and structure of the literature. The results reveal important trends, such as the rapid growth of publications since the release of ChatGPT, initial authorship patterns, the focus on higher education applications, and distinct research clusters around pedagogical, ethical, and assessment issues. Visualizing citation networks identifies seminal studies while mapping co-occurrence clarifies conceptual relationships between topics. The comparative analysis highlights the differences between document types, topics, and time periods. Knowledge mapping highlights gaps in the literature, such as lack of focus on K-12 contexts, and highlights opportunities for further research. Findings: Key findings from this bibliometric analysis of the emerging research landscape surrounding ChatGPT integration in education include the following: (1) Since ChatGPT was released in late 2022, the number of releases has increased significantly, indicating rapid growth in this emerging space; (2) The most cited authors initially came primarily from Anthropic, but over time, the citations spread throughout the research community; (3) The topics focused primarily on higher education applications, with a clear focus on pedagogical strategies, ethical risks, and implications for assessment; (4) Citation networks visualized seminal studies, while the co-occurrence of keywords clarified conceptual connections; (5) Gaps such as applications in the K-12 context were uncovered, and opportunities for further research were highlighted; and (6) The literature is rapidly evolving and requires ongoing monitoring of the development of this field. In general, the analysis presents the productivity, contributors, themes, structure, and opportunities in this emerging area around the integration of ChatGPT in education based on current scientific evidence. The key findings focus on the growing early interest, gaps and developments that can provide insight for researchers and educators. Recommendations for Practitioners: Practitioners should carefully integrate ChatGPT into education based on new evidence, carefully assess contextual applicability, and proactively develop guidelines for ethical and equitable implementation. Ongoing advice, impact monitoring, and research partnerships are crucial to informing best practices. Educators must be vigilant for risks such as privacy, student well-being, and competence impairment while staying abreast of advances in knowledge to dynamically adapt integration strategies. The introduction should empower diverse learners through measured, integrative approaches based on continuous contextual analysis and ethical principles. Recommendations for Researchers: This article recommends that researchers conduct more studies in under-researched contexts, use multiple methods to capture nuanced impacts, increase focus on responsible integration strategies, develop tailored assessments, conduct interdisciplinary collaborations, monitor long-term adoption, mix with interactive explain and publish open access technologies, help guide adoption pathways through actionable studies, and synthesize the exponentially growing literature through updated systematic reviews. Impact on Society: The rapid publication growth and prevailing optimism suggest that the integration of ChatGPT into education will accelerate, increasing the need for rigorous research that guides ethical, responsible innovations that avoid risks and improve outcomes in all educational contexts. The findings have broader implications for guiding adoption trajectories through ongoing evidence synthesis and expanded investigations in under-researched areas to address knowledge gaps. Ultimately, continued monitoring and updated guidance are critical to ensure that ChatGPT's educational penetration progresses carefully by maximizing benefits and minimizing harms in rapidly evolving AI-powered learning ecosystems. Future Research: Based on the basic mapping provided by this paper, recommended research directions include longitudinal impact studies, research tailored to under-researched contexts such as K-12, qualitative research to capture stakeholder perspectives, development and testing of AI-calibrated assessments as well as explorations that combine conversational and interactive learning technologies, updated systematic reviews, and co-designed implementation research that explain pedagogical strategies that ethically unlock learning potential while mitigating risks in diverse educational environments. Such multilayered tracking can provide critical insights to guide context-specific, responsible ChatGPT integration and monitor impact within rapidly evolving AI-powered education ecosystems.

Background. ChatGPT can generate increasingly realistic language, but the correctness and integrity of implementing these models in scientific papers remain unknown. Recently published literature emphasized the "three faces of the coin" of ChatGPT: the negative impact on academic writing, limitations in analyzing and conducting extensive searches of references across multiple databases, and the superiority of the human mind. Method. The present study assessed the chatbot's ability for improvement and its propensity for self-correction at various points in 2023. Starting from previous papers published in our clinic, the authors repeatedly challenged the ChatGPT to conduct extensive searches for references across multiple databases at different time intervals (in March and September 2023). The bot was asked to find recent meta-analyses on a particular topic. Results. The replies (print screens) generated in March and September 2023 serve as evidence of the OpenAI platform's qualitative development and improvement. During the first contact with ChatGPT-3, one noticed significant content flows and drawbacks. ChatGPT provided references and short essays, but none of them were real, despite ChatGPT's clear affirmative response. When searching PubMed IDs, all DOI numbers indicated by the chatbot correlated to various unconnected manuscripts. After a few months, the authors repeated the same interrogative provocations and observed a significant shift in the replies. The ChatGPT-3.5 delivered balanced responses, emphasizing the superiority of the human intellect and advocating traditional academic research techniques and methods. Discussion. A recent comparative systematic analysis using the PRISMA method using the same keyword syntactic correlations to search for systematic literature or open sources has revealed the superiority of the classical scholarly method of research. In contrast, every document (title, authors, doi) that ChatGPT-3 initially delivered was erroneous and associated with a different field or topic. Literature published during the first trimester of 2023 emphasized ChatGPT's hallucinatory tendency to supply fake "bibliographic resources" and confabulatory attempts to paraphrase nonexistent "research papers" presented as authentic articles. A second inquiry was realized six months later generated reserved and cautious solutions, indicating the researcher should analyze and carefully verify the information from specialized academic databases. Conclusions. The paper succinctly describes the flows and initial limitations of the ChatGPT-3 version and the process of updating and improving the GPT-3.5 system during 2023. ChatGPT might be a possible adjunct to academic writing and scientific research, considering any limitations that might jeopardize the study. [ABSTRACT FROM AUTHOR]

The study aimed to analyze the Journal of Hospital Librarianship (JHL) publications between 2001 and 2020 as indexed in Elsevier's Scopus database. The dataset was extracted on February 25, 2021 and 807 records were identified for data analysis. Various bibliometric indicators of the papers were assessed. There was an average of 1.32 citations per document. Sixty percent of the papers were single-authored, but the multi-author papers had a higher number of citations. The USA was identified as the country with the most contributions; Louisiana State University was the highest contributing institution, while Helen-Ann Brown Epstein was the most prolific author. [ABSTRACT FROM AUTHOR]

The present study has examined fog computing global research output, as indexed in Scopus database during 2012-18 on a series of bibliometric measures, such as publications growth rate, global publications share, citation impact, the share of international collaborative papers, distribution of publications by broad subjects. In addition, the study discusses the citation profile of top organizations and authors in fog computing, and the preferred media for research communication and characteristics of highly cited papers. The study finds 1711 global research output registered (68.09%) annual growth rate. 81 countries participated in fog computing research, of which the top 10 countries accounted for 91.23% global publication share and more than 100% of global citation share during 2012-18. China and USA tops the list of top 10 most productive countries in fog computing research with 22.38% and 19.40% global publication share, followed by India (9.70%), Italy (7.36%), Australia (6.14%), etc. USA top the list (17.02% and 2.25%), followed by Australia (15.54% and 2.06%), UK (12.09% and 1.59%), Canada (11.03% and 1.46%), Spain (9.95% and 1.32%), etc. in terms of citation impact per paper and relative citation index. 401 organizations and 457 authors participated in global fog computing research, of which the top 10 organizations and authors contributed (15.02% and 7.48%) global publication share and (42.17% and 12.81%) global citations share during 2012-18. The world contributed (59.75%) share of output in fog computing research in top 20 most productive journals, and 19 of its papers have been rated as highly cited papers each with 100 to 1657 citations per paper, averaging 209.79 citations per paper [ABSTRACT FROM AUTHOR]

Objective. The aim of this study was to examine the characteristics of scientific production related to the use of filtered water in the field of dentistry. Material and Methods. A quantitative and descriptive observational study was carried out with a scientometric approach. Data were collected from the Web of Science (WOS) database during the period January 1991 to December 2023. A search strategy incorporating a combination of MeSH terms, including terms and thesauri related to "filtered water" and "dentistry", was used. R Studio version 4.3.2 and CiteSpace 6.2.R7 were used for data analysis. Results. Over the 32-year study period, 227 scholarly papers from 134 different sources were reviewed. The literature in this field has shown an annual growth rate of 10.44%. During the year 2010, a steady movement in the number of publications and authors was observed, with considerable collaborative interaction. In the year 2020, a large interaction between publications and their citations was found. The "Citation Burst" graph identified three references that have experienced the largest "burst" of citations in an evaluated period. Lotka's law described the productivity of authors, finding that most authors have published only one paper, while a smaller number of authors have published two papers. Most authors contributed a small number of articles, while a few authors contributed a large amount of the existing literature. Conclusion. A comprehensive overview of the scientific production related to the use of filtered water in dentistry over a span of 32 years is provided. The results highlight the growing interdisciplinarity and international collaboration in this field. Finally, the importance of filtered water in dentistry and its growing relevance in the scientific literature are emphasized. [ABSTRACT FROM AUTHOR]

This paper offers an overview of the usefulness of bibliographic analysis and conducts a retrospective review of the Human Resource Management Journal (HRMJ). The first part of the paper explains that bibliographic methods are not fully democratized in management and have just started their modest ascent in HRM. In the second part, the paper provides a retrospective review (1990–2022) of HRMJ articles (n = 855), which constitutes one of the two general objectives of bibliometric analysis. The results revealed that bibliometrics analysis significantly contributes to the HRM body of knowledge, especially given that this methodology is barely used in HRM research. Conversely, the retrospective review has identified trends in performance analysis, such as co-authorship internationalization in HRMJ articles that were unclear until 2011. We also highlighted the existence of six major clusters: HRM and organizational behavior (cluster 1), HR practices and policies (cluster 2), HRM as a strategy (cluster 3), HRM and performance (cluster 4), international HRM (cluster 5), and HRM roles and contingencies (cluster 6). Insights into potential trajectories for HRMJ scope are provided. [ABSTRACT FROM AUTHOR]

Environmental classifications are of paramount importance for assessing the impacts of land-use changes, for prioritizing conservation efforts, and for developing effective management strategies to mitigate the negative impacts of human activities. The aim of our research was to provide as complete an analysis as possible of the studies that have been carried out using the Braun-Blanquet approach. The global review of studies based on the Braun-Blanquet approach includes 1168 papers and was conducted using the PRISMA 2009 methodological recommendations, strict criteria for the selection/quality of papers, and modern methods of data analysis and visualization using VOSviewer software developed by Nees Jan van Eck and Ludo Waltman (Centre for Science and Technology Studies (CWTS) of Leiden University in the Netherlands) (version 1.6.18), which ensures a representative sample, minimization of subjective judgements, and reliability of conclusions. It was noted that the number of publications on Braun-Blanquet is growing exponentially. This is an indication of the scientific interest in this methodology and its continuous further development. Based on a detailed analysis of the keywords, the main research directions and challenges are identified. These include improving the conceptual and methodological foundations of the Braun-Blanquet approach; improvement in regional vegetation classifications, synthesizing them and producing a comprehensive classification for large areas as a basis for biodiversity conservation and sustainable land use; expansion of the geography; compilation and updating of databases of phytosociological data; management of dynamics and vegetation; discussion of the important problem of continuity and discreteness of vegetation in the context of ecological classifications; and vegetation mapping. The top 20 journals publishing the most cited articles were identified, as well as the top 20 most cited journals whose high citation rate is due to the large number of high-quality articles. The analysis of the bibliographic network of papers in dynamics has shown that the structure of relationships is not constant and has changed significantly. The analysis of the authors' publication activity showed that the vast majority of researchers have a low publication activity and have published only one to three papers. A peculiarity also emerges: if all the most cited authors are concentrated in Eurasia, then most of the most actively published authors are outside Eurasia. The importance of the Braun-Blanquet approach for the study and classification of forest vegetation should be emphasized. In this case, the Braun-Blanquet approach is integrated into forest typologies, increasing their ecological validity and environmental relevance. [ABSTRACT FROM AUTHOR]

Simple Summary: Different reproductive biotechnologies have been applied to sheep, such as cloning, which has been successfully applied in this species. In this context, the aim of the present study was to carry out a bibliometric analysis of the scientific literature on cloning applied to sheep reproduction, since the first report was published, to identify the most cited articles, main authors and collaboration among them, published journals, institutions with more published papers, most prolific countries and the network collaboration among them, and research topics. This study collected bibliographic data from 124 papers relating to cloning of sheep. The articles that were cited more often addressed topics related to the generation of transgenic animals, recovery of wild species, and xenotransplants. So far, no bibliometric studies have been conducted about cloning of sheep. Somatic cell nuclear transfer (SCNT) is a reproductive biotechnology with great potential in the reproduction of different species of zootechnical interest, including sheep. This study aimed to carry out a bibliometric analysis of scientific papers published on the application of SCNT in sheep reproduction during the period 1997–2023. The search involved the Science Citation Index Expanded and Social Sciences Citation Index databases of the main collection of the Web of Sciences with different descriptors. A total of 124 scientific papers were analyzed for different bibliometric indicators using the VOSviewer software. Since 2001, the number of SCNT-related papers that have been published concerning sheep reproduction has increased and it has fluctuated in ensuing years. The main authors, research groups, institutions, countries, papers, and journals with the highest number of papers related to the application of SCNT in sheep reproduction were identified, as well as the topics that address the research papers according to the terms: somatic cell, embryo, oocyte, gene expression, SCNT, and sheep. [ABSTRACT FROM AUTHOR]

The massive number of research articles on the Web makes it troublesome for researchers to identify related works that could meet their preferences and interests. Consequently, various network representation learning-based models have been proposed to produce citation recommendations. Nevertheless, these models do not exploit semantic relations and contextual information between the objects of bibliographic papers' networks, which can result in inadequate citation recommendations. Moreover, existing citation recommendation methods face problems such as lack of personalization, cold-start, and network sparsity. To mitigate such problems and produce individualized citation recommendations, we propose a heterogeneous network embedding model that jointly learns node representations by exploiting semantics corresponding to the author, time, context, field of study, citations, and topics. Compared to baseline models, the results produced by the proposed model over the DBLP datasets prove 10% and 12% improvement on mean average precision (MAP) and normalized discounted cumulative gain (nDCG@10) metrics, respectively. Also, the effectiveness of our model is analyzed on the cold-start papers and network sparsity problems, where it gains 12% and 9% better MAP and recall@10 scores, respectively. [ABSTRACT FROM AUTHOR]

Aim: To describe the use of bibliometrics in nursing and assess their contribution to research and practice. Design: A content analysis was conducted of topics, data sources and applications of bibliometrics in nursing research articles. Methods: The study universe included 129 bibliometric articles on nursing retrieved from Scopus. A content analysis was performed to identify the purposes and topics of the articles, the sources employed to collect the data, the time frames covered, the amounts of records surveyed, and the features of the nursing literature analysed in bibliometric papers. Results: Nursing bibliometric research revolves around six key areas: global descriptions of the nursing literature, literature on specific nursing research topics, nursing education, nursing profession, nursing research using a certain framework or method, and nursing literature published in a country or region. Studies rely on three types of sources to retrieve the surveyed literature: bibliographic databases, sets of disciplinary journals and samples of documents. Bibliometrics can be employed to advance nursing research (identification of research gaps, establishment of research agendas, assessment of methodological approaches, etc.) and practice (identification of professional competences, categorisation of professional tasks, recognition of educational improvements, etc.), suggesting new avenues for researchers who aim to conduct further bibliometric research in the field. Further research is needed to assess the coverage of the nursing literature by new bibliographic data sources and to explore unaddressed topics such as gender imbalance in authorship. [ABSTRACT FROM AUTHOR]

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Research trends studies have emerged in education technologies (ET) to determine research manner and changes. Although the precedent examples dated back to the 1950s, trend studies within ET have gradually been increasing since the 1970s. This study aimed to examine the ET publications and research trends in a 5-year time period from 2014 to 2018. With a bibliographic mapping tool, namely VOSviewer, three research questions were addressed relating to collaborations, concepts, and citations in educational technology studies. The data set was extracted from ISI Web of Science databases and included 1690 articles published in six educational technology journals between 2014 and 2018. We used co-authorship analysis to determine the collaborating researchers' institutions and their geographical locations (countries) when they published the articles. A co-occurrence analysis was used to investigate concepts. Finally, a co-citation analysis was employed to determine the most cited papers and journals. Co-authorship analyses revealed that the number of articles published by researchers affiliated with institutions in the USA was the highest in the data set. According to co-occurrence analysis, online learning, especially in open learning environments, was the most studied concept. Moreover, co-citation analysis showed that the most frequently cited articles were published in Computers & Education. Additional findings, discussion, and limitations of the study were explained in the full text.

Introduction: While the putative benefits of "fitness trackers" continue to fuel a booming consumer market, results of device-based clinical interventions remain remarkably mixed. This study will explore factors influencing wearable physical activity (PA) sensor use in the context of stroke prevention and rehabilitation for older adults. The findings of this thematic synthesis will provide insights into factors influencing the use of PA sensors in stroke which may inform more effective device-based interventions. Methods and analysis: Thematic synthesis as a formal method described by Thomas and Arden can be used within a systematic review to synthesize primary qualitative research. Accordingly, the proposed study will systematically search bibliographic databases for relevant peer-reviewed papers and synthesize coded thematic data within included papers. The quality of papers will be assessed using the JBI Critical Appraisal Checklist for Qualitative Research. Patterns in the text will be coded, preliminary data visualised, and higher-level analytical themes discerned to explain factors influencing the use of PA sensors in older stroke patients. Discussion: This study does not require ethics approval. Results are expected to be available by June 2024. Data from the thematic synthesis will provide insights into barriers and facilitators influencing the use of wearable PA sensors in stroke and older adults at risk, and implications these factors have for the design of effective device-based interventions. Trial registration: Systematic review registration: PROSPERO registration number: CRD42020211472. https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020211472. [ABSTRACT FROM AUTHOR]