Search

Introduction The disruption score is a new bibliometric tool that has recently been utilized to identify studies that are innovative and shift paradigms. We sought to identify and characterize the top 100 most disruptive publications in pediatric surgery. Methods The 100 most disruptive and cited publications in 17 pediatric surgery journals were identified from a validated dataset and linked with the iCite NIH tool. The top 100 most disruptive publications were reviewed to determine study design, clinical focus, and perceived contribution. Results The publications included in the top 100 list were more disruptive than 99.5% of the entire PubMed universe. Journal of Pediatric Surgery (n = 45) had the most articles included. There was a weak correlation between citation count and disruption score (r = 0.27). Retrospective cohort studies (38%), contributions in clinical outcomes (39%), technical/technological innovations (31%), clinical focus in trauma (18%), and disorders of the gastrointestinal tract (18%) were the most represented. The disruption score identified a unique subset of literature that has created new paradigms with long lasting influence and may be further applied as another tool to measure scientific impact. This wide array of literature highlights both technical and technological innovations as well as key moments in the history of pediatric surgery. Level of evidence V

Background: The main basis for the public recognition of the merits of scientists has always been the system of scientific publications and citations. Our goal is to identify and analyze the most cited articles in the Public, Environmental & Occupational Health category. (2) Methods: We searched the Web of Science for all articles published in the “Public, Environmental & Occupational Health” category up to March 2022 and selected the 100 most cited articles. We recorded the number of citations, the journal, the year of publication, quartile, impact factor, institution, country, authors, topic, type of publication and collaborations. (3) Results: 926,665 documents were analyzed. The top 100 had 401,620 citations. The journal with the most articles was the Journal of Clinical Epidemiology and the one with the highest number of citations was Medical Care. The year with the highest number of articles in the top 100 was 1998. The country with the highest percentage of publications was the USA and the most productive institution was Harvard. The most frequent keywords were bias, quality, and extension. The largest collaboration node was between the USA, Canada, Germany, Spain, Australia, France, and Sweden. (4) Conclusions: This bibliometric study on Public, Environmental & Occupational Health provides valuable information not only to identify topics of interest in the analyzed category, but also to identify the differences in the topics they study. This research was funded by Human Movement Research Group: SGR-Cat 2021 grant number SGR 1463. Generalitat de Catalunya.

PurposeIn this article, the ideas and methods behind the “patent-paper citation” are scrutinised by following the intellectual and technical development of approaches and ideas in early work on patentometrics. The aim is to study how references from patents to papers came to play a crucial role in establishing a link between science and technology.Design/methodology/approachThe study comprises a conceptual history of the “patent paper citation” and its emergence as an important indicator of science and technology interaction. By tracing key references in the field, it analyses the overarching frameworks and ideas, the conceptual “hinterland”, in which the approach of studying patent references emerged.FindingsThe analysis explains how interest in patents – not only as legal and economic artefacts but also as scientific documents – became evident in the 1980s. The focus on patent citations was sparked by a need for relevant and objective indicators and by the greater availability of databases and methods. Yet, the development of patentometrics also relied on earlier research, and established theories, on the relation between science and technology.Originality/valueThis is the first attempt at situating patentometrics in a larger societal and scientific context. The paper offers a reflexive and nuanced analysis of the “patent-paper citation” as a theoretical and historical construct, and it calls for a broader and contextualised understanding of patent references, including their social, legal and rhetorical function.

Objective Understanding the impact different journal articles have in any academic field is important - particularly in emerging professions. A bibliometric analysis like this does not yet exist for paramedicine, despite the rapid increase in its primary literature. The objective of the present study was to identify and analyse the 100 top-cited articles about paramedicine. Methods We searched the Scopus database in August 2020 for studies relating to paramedicine. After screening titles and abstracts, we extracted the citation count, journal name, publication year, and country of origin. We manually assessed whether the study was clinical or not, noted the sex of the authors, the profession of first and last authors and the study design used. Results The median citation count for the top 100 papers in paramedicine was 58 (interquartile range 46-84 citations). The articles were published across 48 different journals, with Resuscitation and Prehospital Emergency Care being the two most frequent. The top-cited paramedic papers originated from 16 different countries and were written predominantly by medical doctors. Three quarters (73%) of the studies had a clinical focus, and a quarter (26%) were randomised controlled trials. Conclusions The evolution of paramedicine towards professionalism is backed up by the growth of its own body of knowledge. This analysis of the 100 most cited studies in paramedicine is the first of its kind and highlights that paramedicine articles have a high citation count and are published across numerous journals, but with a relative lack of contribution from paramedic practitioners and female researchers.

Introduction/Objective. Essential Science Indicators (ESI) Highly Cited Papers (HCPs) refer to the most influential scientific articles and breakthrough research within a research field in the past decade. This study aimed to identify the characteristics of ESI HCPs in the subject category Dentistry, Oral Surgery and Medicine, to recognize authors, institutions and countries of origin, and determine research trends that attracted the most scientific interest in dentistry. Methods. A descriptive analysis of bibliographic data, network extraction and visualization were completed. Furthermore, analyzed ESI HCPs were classified according to a field of interest, main research domain, type of study, and level of evidence. Results. The set of 185 dental HCPs was published in 42 journals from 2010 to 2020, with an average number of 211.7 citations per paper. Nearly half of HCPs were issued by the Journal of Dental Research, Dental Materials, and Journal of Clinical Periodontology. There were 765 authors affiliated with 351 institutions from 42 countries. The most productive institutions were the University of Hong Kong, the University of Michigan, and the University of Bern. The United States of America contributed with the highest number of publications, followed by China, and the United Kingdom. Dental materials, dental implantology, periodontology, and oral and maxillofacial surgery represented areas of significant interest within this subject category. The highest proportion of HCPs were narrative and systematic reviews, expert opinions, consensus reports, and in vitro ?r lab studies. Conclusion. Results obtained from this study can provide valuable information for researchers to better identify present and future hotspots in dental research.

This study analyzed the current status, hotspots, and emerging trends of global research on cognitive frailty, in order to provide new research ideas for researchers. Articles and reviews related to cognitive frailty, published from 2013 to 2021, were retrieved from the Web of Science Core Collection (WoSCC) database on 26 November 2021. CiteSpace 5.8.R3 was employed for data analyses. A total of 2077 publications were included. There has been a rapid growth of publications on cognitive frailty research since 2016. The United States, Italy, England, and Australia have been the leading research centers of cognitive frailty; however, China has also recently focused on this topic. The National Center for Geriatrics and Gerontology, and Shimada H. were found to be the most prolific institution and author, respectively. Co-citation analysis identified 16 clusters, of which the largest was cognitive frailty. The keywords which occurred most frequently were “older adult”, followed by “cognitive impairment”, “frailty”, “risk”, “dementia”, “prevalence”, “mortality”, “health”, and “Alzheimer’s disease”. Burst keyword detection revealed a rising interest in cognitive frailty models. By analyzing these publications from recent years, this study provides a comprehensive analysis of cognitive frailty research.

The study analyses papers published in DESIDOC Journal of Library and Information Technology (DJLIT) using bibliometric techniques for the period of 1992-2019 (28 years) and citations received by these papers until 20th March 2020as reflected by Google Scholar. The study examined the pattern of growth, geographical distribution of the articles; identified the prolific authors & institutions, and their output; and the pattern of citations of the papers and identified most cited authors. The findings indicate that the highest number of articles was published during 2012-2015 followed by 2016-2019. The distribution of output by countries indicates that 39 countries contributed 1,698 articles, including India. Indian authors published the highest percentage (86.1 %) of articles followed by USA and had the highest value of CPP and RCI. Authors affiliated to different institutions of Delhi contributed the most (30.7 %) followed by Karnataka (13.1 %) and Maharashtra (10.5 %). Among the institutions, DRDO-DESIDOC and CSIR-NISTADS topped the list. Among the 26 most prolific authors, B.M. Gupta (CSIR-NISTADS) published the maximum number of articles. However, B.R. Babu (University of Madras, Chennai) had the highest value of CPP and RCI. During the studied period, 1,698 papers obtained 15,538 citations, of which 248 (14.6 %) articles did not receive any citation.

To spotlight the trends and hot topics looming from the highly cited papers in the subject category of Radiology, Nuclear MedicineMedical Imaging with bibliometric analysis.Based on the Essential Science Indicators, this study employed a bibliometric method to examine the highly cited papers in the subject category of Radiology, Nuclear MedicineMedical Imaging in Web of Science (WoS) Categories, both quantitatively and qualitatively. In total, 1325 highly cited papers were retrieved and assessed spanning from the years of 2011 to 2021. In particular, the bibliometric information of the highly cited papers based on WoS database such as the main publication venues, the most productive countries, and the top cited publications was presented. An Abstract corpus was built to help identify the most frequently explored topics. VoSviewer was used to visualize the co-occurrence networks of author keywords.The top three active journals are Neuroimage, Radiology and IEEE T Med Imaging. The United States, Germany and England have the most influential publications. The top cited publications unrelated to COVID-19 can be grouped in three categories: recommendations or guidelines, processing software, and analysis methods. The top cited publications on COVID-19 are dominantly in China. The most frequently explored topics based on the Abstract corpus and the author keywords with the great link strengths overlap to a great extent. Specifically, phrases such as magnetic resonance imaging, deep learning, prostate cancer, chest CT, computed tomography, CT images, coronavirus disease, convolutional neural network(s) are among the most frequently mentioned.The bibliometric analysis of the highly cited papers provided the most updated trends and hot topics which may provide insights and research directions for medical researchers and healthcare practitioners in the future.

This study analyzed top papers published in the field of Library and Information Science (LIS) published between 2009 and 2019 and included in the Web of Science (WoS) subject category “Information Science & Library Science”. Data of the 501 top papers were extracted from the Essential Science Indicators (ESI) database comprising 499 highly cited papers and 16 hot papers in the field. The distributions of document type, language of publication, scientific output, and publication of journals are reported in this paper. The co-authorship network visualization of authors, organizations and countries, co-occurrence network visualization of all keywords are visualized using VOSviewer software. The 501 papers, all written in English language, were from 1,579 authors employed at 680 organizations based in 59 countries/territories. The papers were published in 40 journals in the field. The top 5 core journals ranked based on the impact factor (IF) were MIS Quarterly, Journal of the American Medical Informatics Association, International Journal of Information Management, Journal of the Association for Information Science and Technology, and Information Management. The top 5 organizations were University of Maryland (USA), University of Wolverhampton (UK), Vanderbilt University (USA), Indiana University (USA), and Wuhan University (China). Authors from the following countries contributed the most - USA, People’s Republic of China, England, Canada and Netherlands. Based on network map using VOSviewer, there were micro, meso and macro level collaborations based on common interests in a specific topics. Analysis of all keywords showed that the research were distributed into 6 clusters. This study concludes that one important characteristic of top papers is the journal reputation, therefore authors can choose their ideal journal with a high JIF and quartile to publish papers in the English language related to this research field.

Brenda Dervin presented a paper in 1983 titled “An Overview of Sense-Making Research: Concepts, Methods and Results to Date” at a conference. She presented the “Sense-Making Methodology (SMM)” in the 1983 paper with the introduction of its core concepts, methods, and applications. SMM is a user-centered theory for methodology and has been widely applied to a wide range of fields. The findings of this study show that the 1983 paper has a long-term influence on other research articles and its influence has expanded into more disciplines and topics over time. Most of 283 articles citing the 1983 paper were information behavior articles published in journals of library and information science. This study contributes to confirm that the primary influence of this 1983 paper was established by a few concepts related to SMM. Not all three basic concepts constructing the SMM, “gaps”, “situations”, and “uses”, were the most influential concepts in terms of number of citation contexts. “Gaps” was the most frequently cited concept related to SMM (17.5%), closely followed by “sense-making/nonsense-making (17.3%)”. However, “SMM” was the most influential concept in terms of number of research topics of citing articles.

The purpose of this review was to identify and analyze the main characteristics of the 100 most-cited papers in the field of endodontic therapy in primary teeth. A search for the most-cited articles was conducted in the Clarivate Analytics Web of Science ‘Core-Collection’ (WoS-CC) database up to December 2020. Papers were ranked in descending order, by number of citations, and each paper was matched with the citation count on Scopus and Google Scholar. Two independent reviewers selected the most-cited papers and analyzed it according to the number and density of citations, year and journal of publication, authors, countries and contributing institutions, study design, topic of the paper, and keywords. Spearman’s correlation and Poisson regression were used to determine associations between the number of citations and study characteristics. The citation count varied from 15 to 135 (WoS-CC), 8 to 141 (Scopus), and 14 to 317 (Google Scholar). Of the 306 contributing authors, most paper contributions were from Sakai VT, Oliveira TM, and Machado MAAM (5 each). Most of the papers originated from the USA (n=21) and Brazil (n=18). Randomized trials were the most common study design (n=32), and “pulpotomy” was the most frequently used keyword (n=35). Poisson regression showed that the number of citations decreased by 1.5% each year, and increased by 9.7% for each unit of impact factor. This bibliometric analysis highlighted papers, authors, and institutions that have contributed to endodontic therapy in primary teeth. Common terms of interest in this research area was also identified, representing the first bibliometric analysis on this subject.

To conduct a bibliometric analysis of the 100 most cited publications on LASIK using the Scientific Information (ISI) Web of Knowledge database. This analysis used keyword-specific searches within the Web of Science database to isolate the 100 most frequently cited LASIK articles published between 1996 and 2019 (T100). Number of citations per article and per year were quantified from 1996 to 2019. Title, authors (as well as affiliated institutions and countries of origin), journal, year of publication, and citation frequency were variables analyzed. Of the T100 articles, each article was cited between 103 to 411 times with a mean of 167 citations. Between 0-11 articles in the T100 were published every year on average with a median of 5 publications per year. The highest concentration of T100 publications occurred between 2003 and 2008 at 51%. A decrease in the annual publication rate of influential articles was observed after 2010 at 23%; 39.1% of these articles compared LASIK to newer refractive surgical approaches. The highest number of T100 articles were from the Journal of Refractive Surgery. The University of California System produced the highest number of T100 articles. The author with the most articles in the T100 is Dan Z. Reinstein. Most T100 articles originated from the United States. The peak of influential LASIK research occurred between 2000-2010, likely due to topics such as postprocedural corneal ectasia and the femtosecond laser approach. While newer surgical techniques such as SMILE may have contributed to the decline in the annual rate of LASIK-related publication, the underlying cause for this decline is unclear.

Background A vast amount of articles centered on brain metastases have been published. Objective To present the 100 most-cited articles dedicated to brain metastasis and to accomplish a broad literature review. Methods In December 2019, we performed a title-focused search using the Thomson Reuters Web of Science database to identify the most cited articles centered on brain metastatic disease. Our search query term was based on using the following algorithm: “brain metastases” OR “brain metastasis” OR “brain metastatic disease” OR “cerebral metastases” OR “cerebral metastasis” OR “cerebral metastatic disease.” Afterward, we reviewed the results to certify that they were relevant to the purposes of our research protocol. The 100 most cited papers were chosen and further analyzed. Results Our search resulted in 11,579 articles, published from 1975 until the completion of our survey. The most cited article, by Patchell et al., was published in 1990, with 1862 citations, and an average of 62.07 citations per year, whereas the last in our list, by Gaspar et al., was published in 2010, with 195 total citations, and an average of 19.50 citations per year. Countries with the highest-cited articles included the United States (75 records), followed by Canada (16 records). Conclusions We discovered the top 100 most-cited articles centered on brain metastasis, all of which show a potentially increased level of interest, because they are meaningful scientific reports. In addition, we reviewed the historical development and advances in brain metastasis research and relevant points of interest, alongside the relevant contributions of different authors, fields of special interest, and countries. Many of the most cited articles were written by authors whose specialty was not neurosurgery or by neurosurgeons who were supported by colleagues from other medical fields. As a consequence, many of these articles were not published in neurosurgery-dedicated journals.

Our understanding of the oxytocin system has been built over the last 70 years by the work of hundreds of scientists, reported in thousands of papers. Here, we construct a map to that literature, using citation network analysis in conjunction with bibliometrics. The map identifies ten major 'clusters' of papers on oxytocin that differ in their particular research focus and that densely cite papers from the same cluster. We identify highly cited papers within each cluster and in each decade, not because citations are a good indicator of quality, but as a guide to recognising what questions were of wide interest at particular times. The clusters differ in their temporal profiles and bibliometric features; here, we attempt to understand the origins of these differences.

We evaluate article-level metrics along two dimensions. Firstly, we analyse metrics’ ranking bias in terms of fields and time. Secondly, we evaluate their performance based on test data that consists of (1) papers that have won high-impact awards and (2) papers that have won prizes for outstanding quality. We consider different citation impact indicators and indirect ranking algorithms in combination with various normalisation approaches (mean-based, percentile-based, co-citation-based, and post hoc rescaling). We execute all experiments on two publication databases which use different field categorisation schemes (author-chosen concept categories and categories based on papers’ semantic information). In terms of bias, we find that citation counts are always less time biased but always more field biased compared to PageRank. Furthermore, rescaling paper scores by a constant number of similarly aged papers reduces time bias more effectively compared to normalising by calendar years. We also find that percentile citation scores are less field and time biased than mean-normalised citation counts. In terms of performance, we find that time-normalised metrics identify high-impact papers better shortly after their publication compared to their non-normalised variants. However, after 7 to 10 years, the non-normalised metrics perform better. A similar trend exists for the set of high-quality papers where these performance cross-over points occur after 5 to 10 years. Lastly, we also find that personalising PageRank with papers’ citation counts reduces time bias but increases field bias. Similarly, using papers’ associated journal impact factors to personalise PageRank increases its field bias. In terms of performance, PageRank should always be personalised with papers’ citation counts and time-rescaled for citation windows smaller than 7 to 10 years.

The bibliometric studies in the field of orthopaedics have gained popularity since they can determine the characteristics and research trends of most influential papers in specific subjects. This study aimed to evaluate the 50 most-cited articles related to hallux rigidus, and analyze possible factors associated with increased citation counts.The available literature about hallux rigidus on Web of Science database until January 2021 were analyzed and the 50 most-cited articles were determined. The characteristics of the papers were documented and analyzed for any relationship or correlation with total citation or citation per year (citation density) values.The average citation number and citation density were 52.8 (range: 26-243) and 3 (range: 0.8-12.8), respectively. The average author number was 3.4, while the average institution number was 1.9. The USA had the highest number of articles with 29. Twenty-six papers were case-series, only 3 studies had level 1 and only 2 had level 2 evidence. The highest number of articles were published in Foot and Ankle International with 22 papers. Forty papers were clinical studies while 10 were reviews. Five studies were multicentric.This study provided the general characteristic and research trends of 50 most influential hallux rigidus papers. The number of institutions and references were positively correlated with citation density, indicating a higher chance of getting cited for papers with collaborations from different institutions and papers using more references from other works. Publication year was also positively correlated with citation density, indicating the better performance of more recent articles.Level 3.

This paper provides results of the investigation of arrays of Russian publications in 252 specified thematic areas for 2010–2017 according to the Web of Science Core Collection (WoS CC). This period is characterized by an increase in the Russian document flow. In 87 scientific areas, Russia reached the level of the top 10 countries for the number of publications submitted to WoS CC. However, in most scientific areas, the citation of Russian publications lags far behind the global average. The average level of citation for the study period matched or exceeded the global average only in 15 areas. The most successful research area for Russia, both in terms of the share component in the number of publications in the world and in the level of their citation, is Nuclear Physics. Other successful areas are those for which Russia reached the top 3% of countries regarding the number of publications: Spectroscopy; Mathematics; Physics, Mathematical; Chemistry, Inorganic & Nuclear; Geochemistry & Geophysics; Mining & Mineral Processing; and Engineering, Petroleum.

The world is accelerating globalization and urbanization; thus, planning plays an irreplaceable role in the macro development, especially in sustainable development. Planning research is important in turning theories of planning into urban practices. This research based on the theory that planning research is crucial, as it represents that planning-related activities improve processes in urbanization. However, the current understanding of the importance of planning research is limited. There is no research on the interaction between planning research and macro national development to support the importance of planning or its research. This study uses 750,000 articles on urban planning fields from WoS from 1950 to the present. Firstly, the study concludes the investment pattern changes of the global planning research. Over the past 70 years, the total number and diversity of countries engaged in planning research have grown rapidly, and developing countries have gradually integrated into the mainstream research community and become the main contributors. Secondly, the investment intensity and characteristics of planning research are consistent with the speed and characteristics of urbanization, which proves that to some extent, the demand of urbanization development drives the investment of planning research. Then, according to the different characteristics of planning research investment in different countries, this paper summarizes the main investment characteristics of major countries, analyzes the development rule behind the investment characteristics, and predicts the interaction with the international political and economic pattern. By analyzing the relationship between planning research intensity and urbanization, it is found that the investment intensity of planning research has a time rule with urbanization and has different interactions in different stages of urbanization development. It was found that the intensity of planning research was strongly correlated with HDI, and the amount of research was crucial.

This is a commentary on the manuscript by Sullivan G, Skertich N, Gulack B, et al., titled “Shifting Paradigms: The Top Most Disruptive Papers in Core Pediatric Surgery Journals”.

Citations are an important, but often overlooked, part of every scientific paper. They allow the reader to trace the flow of evidence, serving as a gateway to relevant literature. Most scientists are aware of citations’ errors, but few appreciate the prevalence of these problems. The purpose of the present study was to examine how often frequently cited papers in biomedical scientific literature are cited inaccurately. The study included an active participation of the first authors of included papers; to first-hand verify the citations accuracy. Findings from feasibility study, where we reviewed 1540 articles containing 2526 citations of 14 most cited articles in which the authors were affiliated with the Faculty of Medicine University of Belgrade, were further evaluated for external confirmation in an independent verification set of articles. Verification set included 4912 citations identified in 2995 articles that cited 13 most cited articles published by authors affiliated with the Mayo Clinic Division of Nephrology and Hypertension. A citation was defined as being accurate if the cited article supported or was in accordance with the statement by citing authors. At least one inaccurate citation was found in 11 and 15% of articles in the feasibility study and verification set, respectively, suggesting that inaccurate citations are common in biomedical literature. The most common problem was the citation of nonexistent findings (38.4%), followed by an incorrect interpretation of findings (15.4%). One-fifth of inaccurate citations were due to chains of inaccurate citations. Based on these findings, several actions to reduce citation inaccuracies have been proposed.

Worldwide, iron deficiency is a common form of micronutrient deficiency with a high individual and societal cost. There are considerable knowledge and practice gaps in the diagnosis and treatment of iron deficiency. Bibliometric analysis examines the published body of knowledge of a subject in an objective fashion. The Web of Science Core Collection was searched to retrieve the 100 most cited papers on the topic of iron deficiency, and the key metrics of each paper were extracted. A keyword study was performed using VOSviewer 1.6.10 software, which provided a visual mapping of the network of keyword cooccurrences. The papers were published between 1964 and 2017 and were cited an average of 636 times. They were contributed by authors from 119 different countries/regions, with the largest contributing country being the United States. 29 institutions contributed at least 6 publications each, and 4 researchers authored or coauthored at least 5 papers. Keyword analysis suggests that the most cited topics could be grouped into 4 categories: (1) epidemiologic research of the global burden of iron deficiency, (2) clinical aspects of iron deficiency anemia, (3) iron metabolism, and (4) the impact of iron deficiency on children. Identification of the most impactful studies in the field of iron deficiency may be helpful to practitioners interested in improving their knowledge base. Compared to bibliometric studies performed on other topics, the medical literature of iron deficiency is mature, as evidenced by the high citation rate of the top 100 papers. Despite the high worldwide prevalence of iron deficiency, the top cited papers are dominated by a relatively small number of countries and institutions. Interestingly, however, the most cited authors in this study do not overlap with the most cited institutions.

One important reason for the use of field categorization in bibliometrics is the necessity to make citation impact of papers published in different scientific fields comparable with each other. Raw citations are normalized by using field-normalization schemes to achieve comparable citation scores. There are different approaches to field categorization available. They can be broadly classified as intellectual and algorithmic approaches. A paper-based algorithmically constructed classification system (ACCS) was proposed which is based on citation relations. Using a few ACCS field-specific clusters, we investigate the discriminatory power of the ACCS. The micro study focusses on the topic "overall water splitting" and related topics. The first part of the study investigates intellectually whether the ACCS is able to identify papers on overall water splitting reliably and validly. Next, we compare the ACCS with (1) a paper-based intellectual (INSPEC) classification and (2) a journal-based intellectual classification (Web of Science, WoS, subject categories). In the last part of our case study, we compare the average number of citations in selected ACCS clusters (on overall water splitting and related topics) with the average citation count of publications in WoS subject categories related to these clusters. The results of this micro study question the discriminatory power of the ACCS. We recommend larger follow-up studies on broad datasets., Comment: 28 pages, 6 figures, and 3 tables

Rheumatology is a broad research area with an extensive background in scientific publications. Thus, the present study aims to identify the highly cited papers in Rheumatology research field, analyzing some aspects such as the documents distribution by years, journals, authors, institutions and countries. Furthermore, a conceptual evolution and a co-word analysis have been performed. In order to carry out this study, the H-Classics methodology, based on widely used H-index, has been used. A total of 317 highly cited papers have been detected from a total amount of 103.175 documents (articles and reviews) indexed in the Rheumatology category of the Web of Science database, from the period 1945–2016. As a result, it is obtained that Arthritis and Rheumatism is the journal with the highest number of documents, with more than half of detected documents. Professor Emery, from the University of Leeds (UK), and professor Felson, from the Boston University (USA), are the authors with more highly cited papers. The University of California (USA) and the University of Stanford (USA) are the main institutional contributors. USA is the leading producer, with more than half of the highly cited papers, but it is interesting to highlight the position reached by Peoples R. China, Mexico and, South Africa when an adjustment index based in the GDP per capita is applied. Osteo-arthritis and monoclonal antibody are the leader topics of this set of documents. The present study shows a useful insight into the development and evolution of the Rheumatology research field, revealing actors that have made the most significant research contribution to its development.

Dion, Sumner, and Mitchell (2018) find that a published article is more likely to cite at least one female-authored paper if that article is itself authored by women. To complement their work, we study the number of times that an article in their data set is cited given that it has at least one female author. We find that articles with at least one female author are cited no more or less often than male-authored articles once we control for the publishing journal and the number of authors. The importance of controlling for author count in our model suggests that spurious correlation and/or self-citation might explain at least some of the gender differences found by Dion, Sumner, and Mitchell (2018).

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.

In our planned study, we shall empirically study the assessment of cited papers within the framework of the anchoring-and-adjustment heuristic. We are interested in the question whether citation decisions are (mainly) driven by the quality of cited references. The design of our study is oriented towards the study by Teplitskiy, Duede [10]. We shall undertake a survey of corresponding authors with an available email address in the Web of Science database. The authors are asked to assess the quality of papers that they cited in previous papers. Some authors will be assigned to three treatment groups that receive further information alongside the cited paper: citation information, information on the publishing journal (journal impact factor), or a numerical access code to enter the survey. The control group will not receive any further numerical information. In the statistical analyses, we estimate how (strongly) the quality assessments of the cited papers are adjusted by the respondents to the anchor value (citation, journal, or access code). Thus, we are interested in whether possible adjustments in the assessments can not only be produced by quality-related information (citation or journal), but also by numbers that are not related to quality, i.e. the access code. The results of the study may have important implications for quality assessments of papers by researchers and the role of numbers, citations, and journal metrics in assessment processes.

Despite their important position in the research environment, there is a growing theoretical uncertainty concerning what research metrics indicate (e.g., quality, impact, attention). Here we utilize the same tools used to study latent traits like Intelligence and Personality to get a quantitative understanding of what over 20 common research metrics indicate about the papers they represent. The sample is all of the 32,962 papers PLoS published in 2014, with results suggesting that there are at least two important underlying factors, which could generally be described as Scientific Attention/Discussion (citations), General Attention/Discussion (views, tweets), and potentially Media Attention/Discussion (media mentions). The General Attention metric is correlated about .50 with both the Academic and Media factors, though the Academic and Media attention are only correlated with each other below .05. The overall best indicator of the dataset was the total lifetime views on the paper, which is also probably the easiest to game. The results indicate the need for funding bodies to decide what they value and how to measure it (e.g., types of attention, quality).

Background/aims In the Middle East (ME), the proper understanding of hepatitis, especially viral hepatitis, is considered to be extremely important. However, no published paper has investigated the status of hepatitis-related research in the ME. A scientometric analysis based on the Web of Science database was conducted on hepatitis-related papers in the ME to determine the current status of research on this topic. Materials and methods A scientometric analysis using the Web of Science database, specifically articles from the Expanded Science Citation Index and Social Sciences Citation Index, was conducted on work published between 2005 and 2014 using the keyword "hepatitis" in conjunction with the names of countries in the ME. Results Of 103,096 papers that used the word "hepatitis" in their title, abstract, or keywords, only 6,540 papers (6.34%) were associated with countries in the ME. Turkey, Iran, Egypt, Israel, and Saudi Arabia were the top five countries in which hepatitis-related papers were published. Most papers on hepatitis A, B, and D and autoimmune hepatitis were published in Turkey, and most papers on hepatitis C were published in Egypt. Conclusion We believe that both the quantity and the quality of hepatitis-related papers in this region should be improved. Implementing multicenter and international research projects, holding conferences and congress meetings, conducting educational workshops, and establishing high-quality medical research journals in the region will help countries in the ME address this issue effectively.

This paper studies the so-called abnormal phenomenon of delayed recognition in bibliometrics and focuses on the first step in quantitatively measuring this phenomenon. As bibliometric analysis of a paper’s recognition and influence is an uncertain and extended process, proper calculation of delayed recognition and “sleeping beauty” publications has limitations in current scientometric studies, such as restricted application indicators, scope, and complex calculation methods. This study suggests a solution for depicting the citation delay phenomenon of individual papers that avoids dividing them into different periods, is applicable to all papers with various types of citation curves, and is easy to calculate. Notably, this approach advocates using an uneven weighted summation based on earlier and later citation years when analyzing an individual paper’s citation data. It demonstrates that the intrinsic relation between two independent indicators of citation delay and Gs index is based on the same logic of applying uneven weights to sum up yearly citations. This paper also recommends that simultaneous application of the new indicator Da and final citation numbers can efficiently identify those delayed recognition papers, and that the criterion for selecting papers can be adjusted by the value of a.

Background The expansion of scientific publications makes more difficult the mining of relevant information necessary for a productive appraisal of authors' work, scientific interaction and exchange. Papers over-citation is unproductive, under-citation of innovative research generates delay and inefficiency. The extraction of information from the literature is mostly based on keywords (KWs). Methods I computed the chances of citation of one paper as 1/number of papers retrieved by the KWs published in that paper, and compared them with the chances obtained by selecting different KWs. Results Using generic KWs the chances are smaller, at times practically nil, as compared to those calculated with more specific KWs and their association. Conclusions Selecting scientifically-analyzed KWs, specific for the message conveyed by a paper and computing beforehand the theoretical chances of citation, might increase the citations obtained, the retrieval of important scientific and innovative information, optimize scientific exchange and qualitative productivity. Learning points • Retrieval of useful scientific information leaves many important data unrecognized when the KWs selected display a large number of papers. • Redundant information yielded by generic KWs discourages searching and favors the citation of articles published on established and well reputed journals. • A more rational use of KWs narrows the target, offering more selected information, while optimizing the exchange of scientific data and hypothesis. • Appropriately selected KWs might improve the access to, and the diffusion-citation of relevant scientific knowledge. • Trial and error reshaping of KWs allows their best selection to improve the chances of citation, that can be computed by appropriate formulas.

Background Bibliometric analyses based on total citation count come with many limitations, which investigators in other fields have overcome using the average number of citations per year since publication. Method The following study is presented in 2 parts. In this first part, the 100 most relevant articles in neurosurgical journals were identified and ranked by total citations per year since publication. We queried the Web of Science database for the 1000 most-cited articles in neurosurgical journals. The number of citations per year was calculated for these 1000 articles, and the top 100 were identified. Results Among the top 100 most relevant articles, 63 were from the Journal of Neurosurgery, 26 from Neurosurgery, 7 from the Journal of Neurology, Neurosurgery, and Psychiatry, 3 from Acta Neurochirurgica, and 1 from Surgical Neurology. The average year of publication for the 100 most relevant articles is 1995, compared with 1984 for the list of most-cited articles published by Ponce and Lozano in 2010 (P Conclusion These results suggest that ranking articles based on relevancy rather than historical popularity results in a list of more recently published articles and includes more studies addressing topics of surgical management and outcomes. The ability to appraise the literature in this fashion is worthwhile to those seeking a better understanding of the science underlying modern clinical practice and is thus a highly valuable tool for neurosurgical residents, program directors, and neuroscientists as they acquire an understanding of modern neurosurgery and its scientific foundation.

Background Discordance exists between scientific impact and media attention. Altmetrics are non-traditional measures of impact which are composite scores that include social media and traditional media sharing of an article. Objective To assess whether a correlation exists between newsworthiness (Altmetric score) and the scientific impact markers such as citation analysis, impact factors and levels of evidence. Materials and Methods The top 5 most cited articles for the year 2014 and 2015 from the top 10 ranking urology journals (scientific impact group) were identified. The top 50 articles each in 2014 and 2015 were identified from Altmetric support based on media activity (media impact group). We determined the number of citations that these articles received in the scientific literature, and calculated correlations between citations with Altmetric scores. Results In the scientific impact group, the mean number of citations per article was 37.6, and the most highly cited articles were oncology guidelines. The mean Altmetric score in these articles was 14.8, There was a weak positive correlation between citations and Altmetric score (rs = 0.35, 95% CI 0.16-0.52, p

Bibliometric analyses are used by researchers and research funding agencies to help determine areas of greatest interest, and consequently which topics and domains warrant increased research attention. Bibliometric analyses have similarly been published in a number of clinical subspecialties concerning areas of specific medical interest; however, a thorough literature search revealed that such a study has been absent in the field of thrombolytics to date. To bridge this gap, we conducted a citation analysis of the 100 most influential articles on thrombolytics. Scopus was selected as the database of choice. Two independent researchers explored the database to extract relevant articles. The articles were ranked according to the number of citations, and a sequential list of the top 100 original articles was prepared in descending order. A detailed analysis was carried out to identify trends and uncover significant discriminators. A second list containing the top 10 review articles was also separately prepared. The 100 most-cited articles regarding thrombolytics were published between 1973 and 2015, with the most articles (n = 29) published in the 5-year period extending from 1996 to 2000. The total number of citations of these 100 most-cited articles ranged from a low of 389 to a high of 6971, with a median of 612.5 citations. These 100 most-cited articles originated from 26 different countries, with more than half from the USA (n = 54), followed by the next most popular countries of origin Germany (n = 20) and France (n = 15). The New England Journal of Medicine (n = 26) and The Lancet (n = 26) contributed the majority of the articles. Our analysis provides insight into the span of research activity and the nature of inquiry dealing with ‘thrombolytic therapy,’ with the hope that such analysis may help to effectively guide future research. Our analysis also yielded a list of the most highly cited and presumably most impactful guideline articles within this field, for distinct consideration.

Papers describing software are an important part of computational fields of scientific research. These “software papers” are unique in a number of ways, and they require special consideration to improve their impact on the scientific community and their efficacy at conveying important information. Here, we discuss 10 specific rules for writing software papers, covering some of the different scenarios and publication types that might be encountered, and important questions from which all computational researchers would benefit by asking along the way., Author summary Computational researchers have a responsibility to ensure that the software they write stands up to the same scientific scrutiny as traditional research studies. These 10 simple rules make doing so easier by enhancing usability, reproducibility, transparency, and other crucial characteristics that aren’t taught in most computer science or research methods curricula.

In the work presented in this paper, we analyse ranking algorithms that can be applied to bibliographic citation networks and rank academic entities such as papers and authors. We evaluate how well these algorithms identify important and high-impact entities. The ranking algorithms are computed on the Microsoft Academic Search (MAS) and the ACM digital library citation databases. The MAS database contains 40 million papers and over 260 million citations that span across multiple academic disciplines, while the ACM database contains 1.8 million papers from the computing literature and over 7 million citations. We evaluate the ranking algorithms by using a test data set of papers and authors that won renowned prizes at numerous computer science conferences. The results show that using citation counts is, in general, the best ranking metric to measure high-impact. However, for certain tasks, such as ranking important papers or identifying high-impact authors, algorithms based on PageRank perform better.

We assessed 6122 environmental modelling papers published since 2005 to determine whether the number of citations each paper had received by September 2014 could be predicted with no knowledge of the paper's quality. A random forest was applied, using a range of easily quantified or classified variables as predictors. The 511 papers published in two key journals in 2008 were further analysed to consider additional variables. Papers with no differential equations received more citations. The topic of the paper, number of authors and publication venue were also significant. Ten other factors, some of which have been found significant in other studies, were also considered, but most added little to the predictive power of the models. Collectively, all factors predicted 16-29% of the variation in citation counts, with the remaining variance (the majority) presumably attributable to important subjective factors such as paper quality, clarity and timeliness. 6122 environmental modelling papers were assessed to determine factors associated with high citation counts.Topic modelling identified seven clusters of papers related by subject.We also assessed 5 very highly cited papers to examine why they were cited.Papers containing differential equations received fewer citations than those without.Papers relating to topics that cross disciplinary boundaries received more citations.

In this study, we address the question whether (and to what extent, respectively) altmetrics are related to the scientific quality of papers (as measured by peer assessments). Only a few studies have previously investigated the relationship between altmetrics and assessments by peers. In the first step, we analyse the underlying dimensions of measurement for traditional metrics (citation counts) and altmetrics - by using principal component analysis (PCA) and factor analysis (FA). In the second step, we test the relationship between the dimensions and quality of papers (as measured by the post-publication peer-review system of F1000Prime assessments) - using regression analysis. The results of the PCA and FA show that altmetrics operate along different dimensions, whereas Mendeley counts are related to citation counts, and tweets form a separate dimension. The results of the regression analysis indicate that citation-based metrics and readership counts are significantly more related to quality, than tweets. This result on the one hand questions the use of Twitter counts for research evaluation purposes and on the other hand indicates potential use of Mendeley reader counts.

We utilized cross tabulation statistics, word frequency counts, and content analysis of research output to conduct a bibliometric study, and used CiteSpace software to depict a knowledge map for re...

Background: From time to time, neuroimaging research findings receive press coverage and attention by the general public. Scientific articles therefore should be written in a readable manner to facilitate knowledge translation and dissemination. However, no published readability report on neuroimaging articles like those published in education, medical and marketing journals is available. As a start, this study therefore aimed to evaluate the readability of the most-cited neuroimaging articles.Methods: The 100 most-cited articles in neuroimaging identified in a recent study by Kim et al. (2016) were evaluated. Headings, mathematical equations, tables, figures, footnotes, appendices, and reference lists were trimmed from the articles. The rest was processed for number of characters, words and sentences. Five readability indices that indicate the school grade appropriate for that reading difficulty (Automated Readability Index, Coleman-Liau Index, Flesch-Kincaid Grade Level, Gunning Fog index and Simple Measure of Gobbledygook index) were computed. An average reading grade level (AGL) was calculated by taking the mean of these five indices. The Flesch Reading Ease (FRE) score was also computed. The readability of the trimmed abstracts and full texts was evaluated against number of authors, country of corresponding author, total citation count, normalized citation count, article type, publication year, impact factor of the year published and type of journal.Results: Mean AGL ± standard deviation (SD) of the trimmed abstracts and full texts were 17.15 ± 2.81 (college graduate level) and 14.22 ± 1.66 (college level) respectively. Mean FRE score ± SD of the abstracts and full texts were 15.70 ± 14.11 (college graduate level) and 32.11 ± 8.56 (college level) respectively. Both items indicated that the full texts were significantly more readable than the abstracts (p < 0.001). Abstract readability was not associated with any factors under investigation. ANCOVAs showed that review/meta-analysis (mean AGL ± SD: 16.0 ± 1.4) and higher impact factor significantly associated with lower readability of the trimmed full texts surveyed.Conclusion: Concerning the 100 most-cited articles in neuroimaging, the full text appears to be more readable than the abstracts. Experimental articles and methodology papers were more readable than reviews/meta-analyses. Articles published in journals with higher impact factors were less readable.

Objective The aim of the study was to analyze the 100 most cited publications with Turkish origin in the Web of Science Otorhinolaryngology (ORL) journals. Methods The Web of Science database was searched in terms of citations for publications originating from Turkey in ORL journals since 1983. After the identification of the 100 most cited articles, analysis was performed for the first author, institution, city, publication type, subject related to subspecialty, and journals having the most cited articles. Moreover, the number of ORL publications and citations of countries was determined in descending order using the same database. Results A total of 3948 ORL articles with Turkish origin was identified. The number of citations was 181 for the first and 28 for the last in the 100 most cited articles. As there was more than one article with 28 citations, 101 articles were analyzed. The number of the articles was 76, 22, and 3 for the university, education/research, and state hospitals, respectively. Hacettepe University, Ankara Numune Hospital, and Gazi University were the three leading institutions having the most cited articles, and Ankara was the first city. While 98 of 101 articles were original research, the number of case reports and review articles were 2 and 1, respectively. Thirty-five articles were related to otology, 23 to pediatric ORL, 20 to rhinology and head and neck surgery, and 3 to facial plastic surgery. Laryngoscope, Otolaryngology-Head and Neck Surgery, and International Journal of Pediatric Otorhinolaryngology were the leading 3 journals with the most cited articles coming from Turkey. The evaluation of countries revealed that Turkey was among the first 10 countries in terms of number of ORL articles but fell behind for the number of citations. Conclusion This bibliometric study is the first one regarding the contribution of Turkish authors and institutions to ORL literature. Similar studies might be periodically repeated to determine national development in the field of ORL and place of Turkey in the world.

Scientific research plays an important role in the achievement of a sustainable society. However, grasping the trends in sustainability research is difficult because studies are not devised and conducted in a top-down manner with Sustainable Development Goals (SDGs). To understand the bottom-up research activities, we analyzed over 300,000 publications concerned with sustainability by using citation network analysis and natural language processing. The results suggest that sustainability science’s diverse and dynamic changes have been occurring over the last few years; several new topics, such as nanocellulose and global health, have begun to attract widespread scientific attention. We further examined the relationship between sustainability research subjects and SDGs and found significant correspondence between the two. Moreover, we extracted SDG topics that were discussed following a convergent approach in academic studies, such as “inclusive society” and “early childhood development”, by observing the convergence of terms in the citation network. These results are valuable for government officials, private companies, and academic researchers, empowering them to understand current academic progress along with research attention devoted to SDGs.

Background The plastic surgery literature is vast, consisting of a plethora of diverse articles written by a myriad of illustrious authors. Despite this considerable archive of published material, it remains nebulous as to which precise papers have had the greatest impact on our specialty. The aim of this study was to identify the most cited papers in the plastic surgery literature and perform a citation analysis paying particular attention to the evidence levels of the clinical studies. Methods We identified the 50 most cited papers published in the 20 highest impact plastic surgery journals through the Web of Science. The articles were ranked in order of number of citations acquired and level of evidence assessed. Results The top 50 cited papers were published in six different journals between the years 1957 and 2007. Forty-two of the papers in the top 50 were considered as level IV or V evidence. No level I or II evidence was present in the top 50 list. The average level of evidence of the top 50 papers was 4.28. Conclusions In the plastic surgery literature, no positive correlation exists between a high number of citations and a high level of evidence. Anatomical reconstructive challenges tend to be the main focus of plastic surgery rather than pathologic diseases and consequently, papers with lower levels of evidence are relatively more valuable in plastic surgery than many other specialties.

Bibliometric review of the literature.To analyze and quantify the most frequently cited papers in lumbar spine surgery and to measure their impact on the entire lumbar spine literature.Lumbar spine surgery is a dynamic and complex field. Basic science and clinical research remain paramount in understanding and advancing the field. While new literature is published at increasing rates, few studies make long-lasting impacts.The Thomson Reuters Web of Knowledge was searched for citations of all papers relevant to lumbar spine surgery. The number of citations, authorship, year of publication, journal of publication, country of publication, and institution were recorded for each paper.The most cited paper was found to be the classic paper from 1990 by Boden et al that described magnetic resonance imaging findings in individuals without back pain, sciatica, and neurogenic claudication showing that spinal stenosis and herniated discs can be incidentally found when scanning patients. The second most cited study similarly showed that asymptomatic patients who underwent lumbar spine magnetic resonance imaging frequently had lumbar pathology. The third most cited paper was the 2000 publication of Fairbank and Pynsent reviewing the Oswestry Disability Index, the outcome-measure questionnaire most commonly used to evaluate low back pain. The majority of the papers originate in the United States (n=58), and most were published in Spine (n=63). Most papers were published in the 1990s (n=49), and the 3 most common topics were low back pain, biomechanics, and disc degeneration.This report identifies the top 100 papers in lumbar spine surgery and acknowledges those individuals who have contributed the most to the advancement of the study of the lumbar spine and the body of knowledge used to guide evidence-based clinical decision making in lumbar spine surgery today.3.

This review summarises all orthognathic and related papers published between January 2011 and December 2012 in the British Journal of Oral and Maxillofacial Surgery (BJOMS). A total of 36 articles were published, a high proportion of which (78%) were full-length papers. The remainder consisted of short communications and technical notes. The topics included operative planning and postoperative outcomes, and there was a strong focus on distraction osteogenesis. There were fewer orthognathic articles published in BJOMS than articles on other subspecialties such as trauma or head and neck oncology. Only 8 (29%) of the full-length articles were prospective studies or randomised trials, which highlights a need for well-designed clinical studies in orthognathic research.

Wenchao Gu,1YapingYuan,1 HuaYang,1GuangshengQi,1XiaoyanJin,2JinYan2 1Department of Respiratory Medicine, People’s Hospital of Shanghai, Pudong New Area, 2Department of Respiratory Medicine, Tongren Hospital, Shanghai, People’s Republic of China Objective: We aimed to identify the 100 top-cited articles published on chronic obstructive pulmonary disease (COPD) and to analyze their characteristics so as to provide information on the achievement and development in COPD research over the past decades. Methods and materials: A comprehensive list of citation classics in COPD was generated by searching the Science Citation Index expanded database, using the keywords “COPD” or “chronic obstructive pulmonary disease” or “chronic obstructive pulmonary diseases”. The 100 top-cited research papers were retrieved by reading the abstract or full text if needed. All eligible articles were read for basic information, including country of origin, organizations, article type, journals, research field, and authors.Results: The 100 top-cited articles on COPD were published between 1966 and 2010. The number of citations ranged from 254 to 2,164, with a mean of 450 citations for each article. These citation classics were from 32 countries, with 38 from the United States. The Imperial College London led the list of classics, with 16 papers. The 100 top-cited articles were distributed in 18 journals, with the American Journal of Respiratory, Critical Care Medicine, and Journal of the American Medical Association topping the list. Among the various fields, both respiratory system (63%) and general internal medicine (63%) were the most common fields of study for the 100 articles. Conclusion: Our bibliometric analysis provides a historical perspective on the progress of scientific research on COPD. Articles originating from the United States and published in high-impact specialized respiratory journals are most likely to be cited in the field of COPD research. Keywords: citation analysis, top-cited, chronic obstructive pulmonary disease

This paper is a synopsis of all articles relating to oral surgery that were published in the British Journal of Oral and Maxillofacial Surgery (BJOMS) between January 2011 and December 2012. Of the 57 published, 40 (70%) were full-length articles that predominantly focused on implantology, dentoalveolar surgery, and bisphosphonate osteonecrosis of the jaws (BONJs). In addition, a number of short communications, technical notes, and letters to the editor described rare cases, unusual complications, and novel surgical techniques.