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Each year, the September issue of the Online Learning Journal (OLJ) highlights select articles showcasing research presented at one of the past year’s Online Learning Consortium (OLC) conferences. OLC Accelerate 2023 was held both virtually, October 2–5, 2023, and in person in Washington, DC, October 24–27, 2023. OLC Innovate, presented jointly by OLC and MERLOT, was held both in Denver, April 10–13, 2024, and virtually, April 23–25, 2024. [ABSTRACT FROM AUTHOR]

BACKGROUND: The American College of Surgeons requires continuous process improvement review to maintain trauma center verification. Paper-based systems to monitor and track performance improvement are commonly used but can be inadequate to monitor concurrent ongoing improvement effectively. OBJECTIVE: To describe the implementation of an electronic process to capture and monitor performance improvement in near real time. METHODS: In 2020, a Midwestern U.S. Level I adult trauma center and a Level II pediatric trauma center's trauma programs transitioned from a paper to an electronic file-sharing system for performance improvement. We converted our primary, secondary, and tertiary review documentation into a single electronic performance improvement file stored on the institution's virtual hard drive, accessible to designated staff, allowing continuous real-time updates. RESULTS: The electronic file-sharing and monitoring process reinvigorated the team and enhanced performance improvement efforts, leading to increased efficiency through documentation and effective loop closure. Real-time monitoring allowed the trauma program to identify opportunities for improvement and enact timely action plans, including targeted performance improvement projects, department education, and ongoing training. CONCLUSION: We found that implementing an electronic file-sharing system enhanced the trauma team's ability to monitor and trend performance improvement in real time. [ABSTRACT FROM AUTHOR]

The notable increase in retraction papers has attracted considerable attention from diverse stakeholders. Various sources are now offering information related to research integrity, including concerns voiced on social media, disclosed lists of paper mills, and retraction notices accessible through journal websites. However, despite the availability of such resources, there remains a lack of a unified platform to consolidate this information, thereby hindering efficient searching and cross-referencing. Thus, it is imperative to develop a comprehensive platform for retracted papers and related concerns. This article aims to introduce "Amend," a platform designed to integrate information on research integrity from diverse sources. The Amend platform consolidates concerns and lists of problematic articles sourced from social media platforms (e.g., PubPeer, For Better Science), retraction notices from journal websites, and citation databases (e.g., Web of Science, CrossRef). Moreover, Amend includes investigation and punishment announcements released by administrative agencies (e.g., NSFC, MOE, MOST, CAS). Each related paper is marked and can be traced back to its information source via a provided link. Furthermore, the Amend database incorporates various attributes of retracted articles, including citation topics, funding details, open access status, and more. The reasons for retraction are identified and classified as either academic misconduct or honest errors, with detailed subcategories provided for further clarity. Within the Amend platform, a total of 32,515 retracted papers indexed in SCI, SSCI, and ESCI between 1980 and 2023 were identified. Of these, 26,620 (81.87%) were associated with academic misconduct. The retraction rate stands at 6.64 per 10,000 articles. Notably, the retraction rate for non-gold open access articles significantly differs from that for gold open access articles, with this disparity progressively widening over the years. Furthermore, the reasons for retractions have shifted from traditional individual behaviors like falsification, fabrication, plagiarism, and duplication to more organized large-scale fraudulent practices, including Paper Mills, Fake Peer-review, and Artificial Intelligence Generated Content (AIGC). The Amend platform may not fully capture all retracted and concerning papers, thereby impacting its comprehensiveness. Additionally, inaccuracies in retraction notices may lead to errors in tagged reasons. Amend provides an integrated platform for stakeholders to enhance monitoring, analysis, and research on academic misconduct issues. Ultimately, the Amend database can contribute to upholding scientific integrity. This study introduces a globally integrated platform for retracted and concerning papers, along with a preliminary analysis of the evolutionary trends in retracted papers. [ABSTRACT FROM AUTHOR]

The study examines the change in pattern of impact factor and SCImago Journal Ranking (SJR) of the journal under study from 2008 to 2021 besides examining the pattern of growth of the number of papers. The study identified the most prolific actors (authors, institutions, and countries), besides examining their citation impact in terms of citation per paper & relative citation impact. The pattern of citation and highly cited papers have also been identified. Based on the analysis of data it is observed that the number of articles published was highest and almost equal in the years 2013, 2016, and 2017. Using the methodology of the complete count of records, it is observed that 56 countries contributed 2,939 articles. China followed by the USA published the highest number of papers. The value of CPP was highest for Universidad de Granada (Spain) and Leiden University (the Netherlands). Among the authors, Nees Jan van Eck and Ludo Waltman of the Leiden University had the highest CPP. Only a minuscule number of published articles remained uncited. Article authored by Aria, M. and Cuccurullo, C. published in issue 11(4), 2017, 959-975 of the journal received the highest number of citations. The pattern of authorship indicates that during the first ten years, more papers were single and two-authored while during 2017-2021 more number of papers were multi-authored. [ABSTRACT FROM AUTHOR]

The article sheds light on a concerning trend in the scientific publishing industry, where fraudulent paper mills are resorting to bribing journal editors to secure publication for questionable research papers. It mentions that the investigation reveals instances of editors, including those affiliated with reputable journals, accepting cash from paper mills in exchange for publishing papers.

Explores controversial questions related to libraries' decision-making on paper journals and electronic journals. Notes that the critical mass of scholarly publishing is still in print. Discusses benefits and drawbacks of electronic journals and paper journals. Presents comments on the pros and cons to binding paper periodicals gathered from an online survey of librarians around the world. (AEF)

Describes research regarding British authors' experience, attitudes, and perceptions of publishing in paper and in electronic journals. Questionnaires addressed current skills in information technology, peer review, and use of multimedia, and it is suggested that authors be involved in future research and debate on electronic serial publishing. (Contains 46 references.) (Author/LRW)

IPPTA (Indian Pulp and Paper Technical Association) Journal is a well-known journal in the Indian pulp and paper fraternity with a publishing history of fifty-five years. This study presents a bibliometric overview of articles published in the IPPTA Journal during 2005-2019. This is the first bibliometric study of a journal completely dedicated to pulp and paper research. The bibliometric analysis included analysis of article distribution, subject classification, authorship pattern, author productivity and collaboration, geographical distribution, references, keywords, prominent institutions, and citations. It also accounts for Lotka's law of scientific productivity, relative growth rate, doubling time, frequently contributing authors and top-cited articles. It was found that during this period 830 articles were published in IPPTA Journal. The average number of articles published per year in the journal is ~56. A total of 2361 authors from 27 countries and 339 unique institutes were identified in these articles. These articles contained 1009 unique keywords, used 5968 references, and received 561 citations. 74.10% of articles were contributed by joint authors. Out of the total 5968 references cited in this journal during the period of study, 48.51% were sourced from journal articles. The overall degree of collaboration, modified collaboration coefficient, average author per article, productivity per article, and collaboration index were calculated to be 0.7410, 0.5030, 2.8446, 0.3515, and 3.8390, respectively. Nonetheless, highlighting various interesting features, this analysis also detected certain inadequacies that need to be resolved for further improvement of this journal. [ABSTRACT FROM AUTHOR]

Discusses the influence of electronic publishing on communication of scientific research. Topics include subscription costs; lagtime between submission and publication; peer review; attitudes of librarians and publishers; value-added features of electronic journals; copyright and licensing issues; and author collaboration. (Author/LRW)

In recent years, it has been proposed that unrealistic requirements for academics and medical doctors to publish in scientific journals, combined with monetary publication rewards, have led to forms of contract cheating offered by organizations known as paper mills. Paper mills are alleged to offer products ranging from research data through to ghostwritten fraudulent or fabricated manuscripts and submission services. While paper mill operations remain poorly understood, it seems likely that paper mills need to balance product quantity and quality, such that they produce or contribute to large numbers of manuscripts that will be accepted for publication. Producing manuscripts at scale may be facilitated by the use of manuscript templates, which could give rise to shared features such as textual and organizational similarities, the description of highly generic study hypotheses and experimental approaches, digital images that show evidence of manipulation and/or reuse, and/or errors affecting verifiable experimental reagents. Based on these features, we propose practical steps that editors, journal staff, and peer reviewers can take to recognize and respond to research manuscripts and publications that may have been produced with undeclared assistance from paper mills. [ABSTRACT FROM AUTHOR]

Word templates exist for select journals, and their primary objective is to facilitate submissions to those journals, thereby optimizing editors' and publishers' time and resources by ensuring that the desired style (e.g., of sections, references, etc.) is followed. However, if multiple unrelated authors use the exact same template, a risk exists that some text might be erroneously cloned if template-based papers are not carefully screened by authors, journal editors or proof copyeditors. Elsevier Procedia® was used as an example. Select cloned text, presumably derived from MS Word templates used for submissions to Elsevier Procedia® journals, was assessed using Science Direct. Typically, in academic publishing, identical text is screened using text similarity software during the submission process, and if detected, may be flagged as plagiarism. After searching for "heading should be left justified, bold, with the first letter capitalized", 44 Elsevier Procedia® papers were found to be positive for vestigial template text. The integrity of the information in these papers has been compromised, so these errors should be corrected with an erratum, or in the case of extensive errors and vast tracts (e.g., pages long) of template text, papers should be retracted and republished. [ABSTRACT FROM AUTHOR]

Online learning is impacting current university practices and policies and quickly changing the fabric of higher education (Rowley, Lujan, & Dolence, 1998). Effective assessment techniques can improve an instructor's understanding of student needs and provide a learner-centered classroom. Understanding and evaluating student learning becomes essential specifically when students and instructors cannot see each other. Transactional distance, a communications gap between the instructor and learners due to physical distance (Moore & Kearsley, 1996), may occur in online learning. This article discusses classroom assessment strategies and techniques, such as the Minute Paper, that can help instructors close the communications gap that can impede effective online teaching and learning.

The aim of this discussion is to establish a connection between the model for sandwich beams presented in Schöftner (Acta Mech 234:2543–2560, 2023) and the so-called Krajcinovic model. Although the two models turn out to be quite similar, Krajcinovic model displays a richer kinematics and has been developed in the literature by following slightly different methodologies with respect to that adopted by Schöftner, the latter having the merit of providing equilibrium equations that allow the computation of the interfacial stresses. We also offer some remarks on the capabilities and accuracies of the models discussed. [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.

Classifying papers according to the fields of knowledge is critical to clearly understand the dynamics of scientific (sub)fields, their leading questions, and trends. Most studies rely on journal categories defined by popular databases such as WoS or Scopus, but some experts find that those categories may not correctly map the existing subfields nor identify the subfield of a specific article. This study addresses the classification problem using data from each paper (Abstract, Title, Keywords, and the KeyWords Plus) and the help of experts to identify the existing subfields and journals exclusive of each subfield. These "exclusive journals" are critical to obtain, through a pattern detection procedure that uses machine learning techniques (from software NVivo), a list of the frequent terms that are specific to each subfield. With that list of terms and with the help of optimization procedures, we can identify to which subfield each paper most likely belongs. This study can contribute to support scientific policy‐makers, funding, and research institutions—via more accurate academic performance evaluations—, to support editors in their tasks to redefine the scopes of journals, and to support popular databases in their processes of refining categories. [ABSTRACT FROM AUTHOR]

The article discusses how and why eLife selects papers for peer review. The editors consider whether they can find high-quality reviewers and whether the reviews will be valuable to the scientific community. eLife aims to promote a culture where the content of a paper is more important than the journal it is published in. They include preprints, assessments, public reviews, and author responses in their published papers to improve the assessment and evaluation of scientific research. The article also mentions the challenges of finding reviewers and the need to focus efforts on papers that will be most inspiring to readers. The peer-review process at eLife involves a team of editors and reviewers who assess the scientific content of submissions. The goal is to provide high-quality assessments that can be judged on their own merits, regardless of where they are published. [Extracted from the article]

For data information scientists, librarians and academics alike, it is a worrisome sign when information or a file opaquely disappears from the body of scientific literature, even more so when it carries a digital object identifier (DOI). This is because the DOI typically offers a published paper a form of digital permanence. Preprints are being increasingly fused into the publication stream, serving as a prelude to submission to a peer-reviewed journal. One of the main preprint servers is Elsevier's SSRN. This paper, a rare case study, describes three preprints by the same authors related to peer review that were withdrawn (i.e., retracted). Apart from a short notice with identical text ("This paper has been removed from SSRN at the request of the author, SSRN, or the rights holder"), no date of the withdrawals and no explanation were publicly provided. Following queries to the authors and SSRN, the three preprints were reinstated around February 2023. Finally, the original title of two of the preprints was manipulated in the reinstated preprints. This historical case study not only highlights the risks of opaque preprint withdrawals, but also the ease with which information on preprint servers (in this case SSRN) can be modified and/or manipulated. [ABSTRACT FROM AUTHOR]

The article provides an overview of the journal "Applied Computing and Intelligence," which was founded in 2021 and focuses on computing, artificial intelligence, and their applications. The journal has received 120 submissions from 2021 to 2023, with 23 papers published, 61 rejected, and 33 withdrawn. The editorial board consists of 46 members from 17 countries, and the published papers cover various research areas such as machine learning, classification, and clustering. The journal aims to publish papers with novel contributions, valid methods and results, and clear presentation for reproducibility. The impact of the journal is still developing, and the authors encourage new submissions. [Extracted from the article]

The aim of this paper was to present the development of the journal Kinesiology - International Journal of Fundamental and Applied Kinesiology over the five decades of its publication through the analysis of the articles using bibliometric indicators. The sample consisted of 1083 articles published over the period of 50 years, from the 1st volume in 1971 until the 52nd volume in 2020. The analysis of the articles revealed that the most common articles were original scientific papers, while the least represented articles were categorized as conference papers. From 1971 to 1996, most articles were written in the Croatian language. However, in the period 1996-1999, the journal was published both in Croatian and English and since 2000 onwards exclusively in English. The cited references in the last decade of the journal's publication were analysed in order to point out the patterns of scientific communication in kinesiology and to determine the recognizability of the published papers at the international level. Since 2006, greater visibility of Kinesiology - International Journal of Fundamental and Applied Kinesiology has been enabled by providing access to full texts of publications through the Portal of Scientific Journals of Croatia - Hrčak, whereas the articles published until the end of 2005 were retrogradely digitized. [ABSTRACT FROM AUTHOR]

The article discusses the establishment and evolution of the periodical, highlighting its role in promoting scientific research from Serbia and its commitment to quality and accessibility. Topics discussed include the historical context leading to the journal's foundation, the importance of international scientific collaboration, and the journal's dedication to open access and rigorous peer review.

In 2015, the Open Science Collaboration reported in the journal Science that a disturbingly large proportion of psychological studies cannot be replicated (Open Science Collaboration, 2015). The ensuing 'reproducibility crisis' became a lightning rod for contesting what counts as legitimate research, and for negotiating the relationship between communication infrastructures and research practice. In the psychological and cognitive sciences, the Open Science community has advocated widespread reforms to incentivize transparency, encourage replication, and detect and discourage questionable research practices. The model of 'openness' underlying mainstream Open Science centers on sharing information to increase science's self-correcting capacity. Against the backdrop of broad-scale transformations in Open Science, this case study depicts how scientists read. By examining the activity of a group of researchers 'virtually witnessing' an experiment together, this study reveals reading as a non-trivial process that matters for how research is apprehended and for how science is moved through time and space. The case complicates a disembodied, information-centric 'openness' pursued by mainstream Open Science reforms and advocates integrating situated and embodied resources into methods reforms, beginning with practices of reading. [ABSTRACT FROM AUTHOR]

The International Journal of Metalcasting (IJMC) has experienced significant growth and recognition within the global research community. The journal's impact factor, citation rates, and readership have all increased, indicating its importance as a platform for disseminating cutting-edge research in the metalcasting industry. The IJMC has seen a substantial increase in the number of papers published each year, with 273 papers expected to be published in 2024. Additionally, the journal is expanding to six issues per year starting in 2024 to accommodate the growing demand for technical information in the field. [Extracted from the article]

The article informs about 11th International Conference After communism. East and West under Scrutiny to be held in in Craiova, Romania, March 19-20, 2021. Topics include peculiar professional involvement creating and exploiting the inter-disciplinary developments of the East-West relations; study of recent history of the former communist space; and international and Canadian conferences taking place pertaining to international relations, politics, trade, energy and sustainable development.

Purpose: This study distinguishes the academic influence of different papers published in journals of the same subject or field based on the modification of the journal impact factor. Design/methodology/approach: Taking SSCI journals in library and information science (LIS) as the research object, the authors first explore the skewness degree of the citation distribution of journal articles. Then, we define the paper citation ratio as the weight of impact factor to modify the journal impact factor for the evaluation of papers, namely the weighted impact factor. The authors further explore the feasibility of the weighted impact factor in evaluating papers. Findings: The research results show that different types of skewness exist in the citation distribution of journal papers. Particularly, 94% of journal paper citations are highly skewed, while the rest are moderately skewed. The weighted impact factor has a closer correlation with the citation frequency of papers than the journal impact factor. It resolves the issue that the journal impact factor tends to exaggerate the influence of low-cited papers in journals with high impact factors or weaken the influence of high-cited papers in journals with low impact factors. Originality/value: The weighted impact factor is constructed based on the skewness of the citation distribution of journal articles. It provides a new method to distinguish the academic influence of different papers published in journals of the same subject or field, then avoids the situation that papers published in the same journal having the same academic impact. [ABSTRACT FROM AUTHOR]

The action of fungi on books, documents, maps, and works of art on paper can result in inestimable cultural losses. Plus, some of the fungi present in paper documents, surfaces and air from archives, libraries and museums are also a threat to human health. This work aims to review the literature on the most important and frequent microfungal populations found in paper-based collections all over the world, and correlate these data with human health risks. A total of 71 studies, dating between 1997 and 2018 were reviewed and organized. From 27 different countries, 207 fungal genera and 580 species were reported. Chaetomium sp. and Fusarium sp. were found to be special contaminants in the air of archives and have been associated with paper biodeterioration. The most common fungi reported (e.g. Penicillium, Aspergillus, and Alternaria species) have an impact on paper conservation but can also cause adverse human health effects. The most frequent fungal species retrieved from discoloured paper materials are discussed in greater detail. Considerations on methods of identification and quantification of fungal contamination are also presented. Finally, the authors acknowledge an urgent need for standardizing research in this area and further studies are proposed. [ABSTRACT FROM AUTHOR]

The use of respondent quotes to headline qualitative research papers is a popular literary device found in many academic journals. This practice has increased over the last four decades and now appears normalised within qualitative research writing. This article provides a critical analysis of this trend in academic writing and concomitant publishing. Content and framework analyses of 40 papers employing this literary device to summarise the respective studies identified (i) a lack of methodological rigor, (ii) incomplete analysis, (iii) an overall mis-representation of the wider qualitative dataset, and (iv) possible investigator bias associated with using respondent quotes as titles of qualitative research papers. This article questions the credibility of purposely selecting a single experience that reduces the wider collective experience into one deterministic statement. This article contends that such practice is antithetical to the principles of qualitative research. Recommendations are provided to better monitor this practice throughout the academy. [ABSTRACT FROM AUTHOR]

Although regression models play a central role in the analysis of medical research projects, there still exist many misconceptions on various aspects of modeling leading to faulty analyses. Indeed, the rapidly developing statistical methodology and its recent advances in regression modeling do not seem to be adequately reflected in many medical publications. This problem of knowledge transfer from statistical research to application was identified by some medical journals, which have published series of statistical tutorials and (shorter) papers mainly addressing medical researchers. The aim of this review was to assess the current level of knowledge with regard to regression modeling contained in such statistical papers. We searched for target series by a request to international statistical experts. We identified 23 series including 57 topic-relevant articles. Within each article, two independent raters analyzed the content by investigating 44 predefined aspects on regression modeling. We assessed to what extent the aspects were explained and if examples, software advices, and recommendations for or against specific methods were given. Most series (21/23) included at least one article on multivariable regression. Logistic regression was the most frequently described regression type (19/23), followed by linear regression (18/23), Cox regression and survival models (12/23) and Poisson regression (3/23). Most general aspects on regression modeling, e.g. model assumptions, reporting and interpretation of regression results, were covered. We did not find many misconceptions or misleading recommendations, but we identified relevant gaps, in particular with respect to addressing nonlinear effects of continuous predictors, model specification and variable selection. Specific recommendations on software were rarely given. Statistical guidance should be developed for nonlinear effects, model specification and variable selection to better support medical researchers who perform or interpret regression analyses. [ABSTRACT FROM AUTHOR]

This article addresses the revernacularization or reduction of the use-value of the standard Croatian language within the scientific and academic system. A bibliometric analysis of 1,152 academic papers was conducted on the sample of the selected Croatian journals in sociology and philology (Croatian studies). A longitudinal approach was used, analyzing all issues of the included journals in the periods 1996 to 1999, 2006 to 2009, and 2016 to 2019. Unlike in the 1990s, the selected journals were in later periods exposed to internationalization by being included in relevant international databases for scientific research. This article aims to investigate whether and how this process has affected the revernacularization of the Croatian language. The results show a similar absolute number of papers written in Croatian within the periods analyzed, and also a decrease in their relative number (share). In the period from 2016, a marked increase in the number of papers written in English was observed, as well as in the number of foreign authors. Such papers mostly do not address the topics of Croatian society. The results indicate an intensified internationalization of the analyzed journals, but not revernacularization. The mentioned trend can, nevertheless, lead to revernacularization with increasing international recognition of the journals, the continued promotion of publication in foreign languages, and a more rigorous policy of academic advancement in Croatia. In this sense, this study considers the need for preserving the standard Croatian language within the academic system, bringing both into a relationship with the widely promoted model of endogenous social development. [ABSTRACT FROM AUTHOR]

Scientific papers, as pivotal tools for academic communication, should be articulated with clarity and precision to ensure the effective conveyance of scholarly ideas and to prevent reader confusion. Yet, many such papers conspicuously lack in-depth research, and their core content is often ambiguously presented. This pattern poses a significant impediment to the progressive evolution of science and technology. While numerous researchers have recognized this widespread challenge, a holistic theoretical or methodological solution remains elusive in the academic realm. To bridge this gap, we introduce the INTEGrity vERification (INTEGER) task. This task aids researchers in assessing the integrity of their papers by verifying the clarity of each knowledge unit. To implement this task on text, we propose a multi-task learning model that utilizes the Tucker decomposition and span-level attention mechanism to identify terms and their integrity precisely. More specifically, to provide insights into the INTEGER task and validate the effectiveness of the proposed model, we collect 8076 sentences and construct three new datasets containing various types of terms and descriptions in different domains. Extensive experimental results show that our proposed model has an average performance improvement of 1.1% F1 over the three datasets compared to a series of state-of-the-art baseline methods. [ABSTRACT FROM AUTHOR]

This document highlights two studies published in the Asian Journal of Ecotoxicology. The first study focuses on the development of machine learning models to screen chemicals with hepatotoxicity, or liver toxicity. The models were trained using a dataset of 4014 chemicals and achieved good performance in predicting hepatotoxicity. The second study explores the use of machine learning methods to screen chemicals that induce autonomic dysfunction, a condition affecting the autonomic nervous system. The study developed a model using a dataset of 466 positive and 427 negative samples and identified structural alerts associated with autonomic dysfunction. Both studies provide valuable tools for screening and evaluating toxic chemicals. [Extracted from the article]

This paper introduces CORE, a widely used scholarly service, which provides access to the world's largest collection of open access research publications, acquired from a global network of repositories and journals. CORE was created with the goal of enabling text and data mining of scientific literature and thus supporting scientific discovery, but it is now used in a wide range of use cases within higher education, industry, not-for-profit organisations, as well as by the general public. Through the provided services, CORE powers innovative use cases, such as plagiarism detection, in market-leading third-party organisations. CORE has played a pivotal role in the global move towards universal open access by making scientific knowledge more easily and freely discoverable. In this paper, we describe CORE's continuously growing dataset and the motivation behind its creation, present the challenges associated with systematically gathering research papers from thousands of data providers worldwide at scale, and introduce the novel solutions that were developed to overcome these challenges. The paper then provides an in-depth discussion of the services and tools built on top of the aggregated data and finally examines several use cases that have leveraged the CORE dataset and services. [ABSTRACT FROM AUTHOR]

Provides an overview of this section of the journal devoted to Perspectives on Chemistry Journals, based on papers presented at the Tri-Society Symposium on Chemical Information (Los Angeles, CA, June 9, 2002). Focuses on the impact of electronic journals on chemistry libraries, from publishers' and librarians' points of view. (LRW)

A call for special issue papers has been issued by the journal Environmental Engineering Science on the topic of microplastics. Microplastic pollution is a growing problem that can have negative impacts on ecosystems, human health, and the environment. Urban areas and agricultural practices are significant sources of plastic pollution, and conventional water treatment methods may not effectively remove microplastics, potentially allowing them to reach consumers' drinking water. The call invites researchers to contribute their work on various aspects of plastic pollution, including sources, transport pathways, fate in water systems, mitigation practices, and impacts on organisms and ecosystems. Abstracts are due by January 31, 2024, and full manuscripts by March 31, 2024. [Extracted from the article]

This paper provides insights into the paper submission and review processes and the possible reasons behind paper acceptance or rejection. The main target of this paper is emerging researchers who are writing their first scientific papers in peer-reviewed journals. This manuscript gives clues on how to select a journal and what a preprint is, introduces authorship and the roles of editors, reviewers, and publishers, sheds light on the editorial process, and briefly introduces some ethical issues arising in scholarly publishing. The content is based on a course offered annually to doctoral students at the University of Milan and keeps into account frequently asked questions. The authors of this paper are an editor-in-chief and an associated editor of scientific journals, respectively. [ABSTRACT FROM AUTHOR]

Each semester, undergraduate students at the University of Colorado at Colorado Springs produce quality research papers that seldom reach audiences beyond their professors or classrooms. In 2008, Kraemer Family Library launched an open access undergraduate research journal on a trial basis to give faculty a mechanism for highlighting excellent student research. The journal has evolved into a sustainable and popular publishing service at the university. This case study describes the progress and setbacks that were encountered during the first year of the journal's publication, with particular emphasis on management and policy issues. (Contains 3 figures, 1 table and 30 notes.)

The data paper is becoming a popular way for researchers to publish their research data. The growing numbers of data papers and journals hosting them have made them an important data source for understanding how research data is published and reused. One barrier to this research agenda is a lack of knowledge as to how data journals and their publications are indexed in the scholarly databases used for quantitative analysis. To address this gap, this study examines how a list of 18 exclusively data journals (i.e., journals that primarily accept data papers) are indexed in four popular scholarly databases: the Web of Science, Scopus, Dimensions, and OpenAlex. We investigate how comprehensively these databases cover the selected data journals and, in particular, how they present the document type information of data papers. We find that the coverage of data papers, as well as their document type information, is highly inconsistent across databases, which creates major challenges for future efforts to study them quantitatively, which should be addressed in the future. [ABSTRACT FROM AUTHOR]

Scientific papers published in journals or conferences, also considered academic publications, are the manifestation of scientific research achievements. Lots of scientific papers published in digital form bring new challenges for academic evaluation and information retrieval. Therefore, research on the ranking method of scientific papers is significant for the management and evaluation of academic resources. In this paper, we first identify internal and external factors for evaluating scientific papers and propose a publication ranking method based on an analysis of a heterogeneous academic network. We use four types of metadata (i.e., author, venue (journal or conference), topic, and title) as vertexes for creating the network; in there, the topics are trained by the SentenceLDA algorithm with the metadata of the abstract. We then use the Gibbs sampling method to create a heterogeneous academic network and apply the ConNetClus algorithm to calculate the probability value of publication ranking. To evaluate the significance of the method proposed in this paper, we compare the ranking results with BM25, PageRank, etc., and homogeneous networks in MAP and NDCG. As shown in our evaluation results, the performance of the method we propose in this paper is better than other baselines for ranking publications. [ABSTRACT FROM AUTHOR]