Empirical analysis and classification of database errors in Scopus and Web of Science

The popularisation of self-care: Tracing the dissemination of Orem's Self-Care Deficiency Nursing Theory into the scientific disciplines

BACKGROUND

Bibliometric methods may be used to examine research trends, and information visualisation techniques are useful in illustrating the diffusion of knowledge and how theories are applied.

OBJECTIVES

The present study aimed to illustrate how Orem's Self-Care Deficiency Nursing Theory (SCDNT) has been cited and applied in nursing science and beyond.

METHODS

A bibliometric analysis examined scientific publications that cited Orem's nursing theory. In addition, the diffusion of SCDNT was assessed using data visualisation methods and integration scores of SCDNT versions were calculated to define trends in its theoretical usage in other scientific domains.

RESULTS

The information visualisation demonstrated increased usage of SCDTN in different disciplines. Integration scores demonstrated that the scientific community still recognises and uses versions of SCDTN.

DISCUSSION

Studying citation patterns helps to identify which publications are still cited and relevant, as well as illustrating the dissemination of theory. Findings may be used in the collection weeding of SCDTN book versions.

CONCLUSIONS

Findings provided nursing scientists with a better conceptual understanding of SCDNT diffusion and development. For academic library managers, the findings identify which SCDNT should be retained for historical interest and curriculum needs.

Green and sustainable business models: historical roots, growth trajectory, conceptual architecture and an agenda for future research-A bibliometric review of green and sustainable business models

Over the last two decades, green and sustainable business models (GnSBMs) have become a prominent topic of discussion among scholars, practitioners and policymakers. Preponderance of research and an increasing global pressure to adopt GnSBMs necessitate a comprehensive understanding of the state of research on GnSBMs. Towards this end, we extracted 851 publications on GnSBMs from the Scopus database and employed a series of bibliometrical techniques to: (1) explore the historical roots and sleeping beauties, (2) assess the life cycle, (3) map the conceptual evolution and (4) propose a research agenda for this growing field. Our analysis revealed that research on GnSBMs is moving from a multidisciplinary to an interdisciplinary domain. Its historical roots can be traced to the pioneering works on business strategy in the 1950s, environmental science in the early 1960s and stakeholder theory in the 1980s. Life cycle analysis indicated that research on GnSBM went through an introductory stage from 2002 to 2013 and then began to rapidly grow in 2014, and this growth is forecast to continue until circa 2040. The conceptual structures from 2002 to 2013 and 2014 to 2020 were mapped and an agenda for future research was proposed.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11192-022-04577-2.

Trends and focuses of hantavirus researches: a global bibliometric analysis and visualization from 1980 to 2020

Background

There have been worldwide changes in the researches on hantaviruses in the past several decades. Nevertheless, there are few bibliometric analysis studies this field. We aim to evaluate and visualize the research focuses and trends of this field using a bibliometric analysis way to help understand the developmet and future hotspots of this field.

Material and methods

Publications related to hantavirus studies were culled from the Web of Science Core Collection to generate trend analysis. The articles and reviews were re-extracted and Countries, institutions, authors, references and keywords in this field were visually analyzed by using VOSviewer and CiteSpace.

Results

A total of 4408 studies were included and the number of publications regarding hantaviruses significantly increased yearly. Three thousand seven hundred sixteen research articles and reviews were retrieved to generate bibliometric analysis. These studies mainly come from 125 countries led by USA and China and 3312 institutions led by the University of Helsinki. Twelve thousand five hundred twenty nine authors were identified and Vaheri A were the most influential author. Journal of Virology was the journal with the most studies and citations. After analysis, Hemorrhagic fever with renal syndrome, Hantavirus cardiopulmonary syndrome, nephropathia epidemica and related genotypes, clinical symptoms and rodents were the most common keywords and developing areas.

Conclusion

Research on hantavirus is flourishing. Cooperation among different countries and institutions in this field must be strengthened in the future. The ecology and clinical symptoms of new genotypes, the vaccine development and factors that affect host population distribution and density are current and developing areas of study.

Research agenda on turnaround strategies beyond systemic disruptions

Purpose

Since the Great Financial Crisis (GFC), the shocks are getting deeper and deeper on the economy, sectors and companies. In these years, turnaround strategies have evolved and contribute to improving the agility and audacity of managers. This article studies the change in the research agenda and in the academic discourse as systemic disruptions become widespread and provides evidence on collaboration networks and publication opportunities.

Design/methodology/approach

This research uses a comparative bibliometric analysis to understand the changes in the academic debate as of 2008. The core collection of Web of Science (WoS) is used and 198 articles on turnaround strategies published in journals indexed in Journal Citation Reports® (JCR) – Social Sciences Citation Index (SSCI) in areas like business, management, economics and finance during 1965–2022.

Findings

This research reveals an important intertemporal evolution between periods, both in the collaborative networks of researchers and in the journals that dominate the impact discourse. In addition, it provides evidence of the change in academic discourse, through the evolution of the topics of interest after the GFC. The results suggest publication opportunities around gaps not yet closed by the academic literature.

Practical implications

This article allows researchers to be guided in identifying gaps that have not yet been closed. In addition, this research has important managerial implications, since it guides and advises journal editors on new emerging issues.

Originality/value

This document offers a global vision on the subject of study and an understanding of the development of the discourse of the academy.

Variations in the naming of malondialdehyde (MDA) in PubMed-, Scopus-, and Web of science-indexed literature

Malondialdehyde (MDA) is a product of lipid peroxidation that is often determined in abiotic stress-related phytoremediation research. This study assessed (July 14, 2022) the frequency of eight nomenclatural forms of MDA between 2001 and 2021 using three major databases (PubMed, Scopus, and Web of Science (WoS9). The most common form (75,060, 57,874, and 65,663 times in PubMed, Scopus, and WoS, respectively) of MDA was "malondialdehyde", followed by "malonaldehyde" (68,240, 3815, and 2337 times in these three databases, respectively). According to WoS, the journals that used "malondialdehyde" and "malonaldehyde" most frequently were Environmental Science and Pollution Research (Springer-Nature) (587 times) and The Journal of Chemical Physics (AIP Publishing) (57 times). Other less-frequent forms were: malonyldialdehyde, malonic dialdehyde, malon-dialdehyde, malone dialdehyde, malonic aldehyde, and malonodialdehyde. We recommend that the editors of journals that publish papers with themes that are closely associated with plant stress specify in their instructions for authors their journal's preferable nomenclatural form of MDA. The plant abiotic stress community, including phytoremediation specialists, need to debate this topic with the objective of seeking a standardized nomenclatural form of MDA, which would help to fortify the integrity of searches in major databases by allowing all relevant literature to be accurately identified. Novelty statementMalondialdehyde (MDA), a product of lipid peroxidation that is often determined in stress-related phytoremediation research, has various forms to its name. These nomenclatural variations were assessed in PubMed-, Scopus-, and Web of Science-indexed literature. This is the first study to detect, report, quantify and debate these forms of MDA.

Types of Errors Hiding in Google Scholar Data

Google Scholar (GS) is a free tool that may be used by researchers to analyze citations; find appropriate literature; or evaluate the quality of an author or a contender for tenure, promotion, a faculty position, funding, or research grants. GS has become a major bibliographic and citation database. For assessing the literature, databases, such as PubMed, PsycINFO, Scopus, and Web of Science, can be used in place of GS because they are more reliable. The aim of this study was to examine the accuracy of citation data collected from GS and provide a comprehensive description of the errors and miscounts identified. For this purpose, 281 documents that cited 2 specific works were retrieved via Publish or Perish software (PoP) and were examined. This work studied the false-positive issue inherent in the analysis of neuroimaging data. The results revealed an unprecedented error rate, with 279 of 281 (99.3%) examined references containing at least one error. Nonacademic documents tended to contain more errors than academic publications (U=5117.0; P<.001). This viewpoint article, based on a case study examining GS data accuracy, shows that GS data not only fail to be accurate but also potentially expose researchers, who would use these data without verification, to substantial biases in their analyses and results. Further work must be conducted to assess the consequences of using GS data extracted by PoP.

Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases

This paper introduces a novel scientometrics method and applies it to estimate the subject coverages of many of the popular English-focused bibliographic databases in academia. The method uses query results as a common denominator to compare a wide variety of search engines, repositories, digital libraries, and other bibliographic databases. The method extends existing sampling-based approaches that analyze smaller sets of database coverages. The findings show the relative and absolute subject coverages of 56 databases-information that has often not been available before. Knowing the databases' absolute subject coverage allows the selection of the most comprehensive databases for searches requiring high recall/sensitivity, particularly relevant in lookup or exploratory searches. Knowing the databases' relative subject coverage allows the selection of specialized databases for searches requiring high precision/specificity, particularly relevant in systematic searches. The findings illustrate not only differences in the disciplinary coverage of Google Scholar, Scopus, or Web of Science, but also of less frequently analyzed databases. For example, researchers might be surprised how Meta (discontinued), Embase, or Europe PMC are found to cover more records than PubMed in Medicine and other health subjects. These findings should encourage researchers to re-evaluate their go-to databases, also against newly introduced options. Searching with more comprehensive databases can improve finding, particularly when selecting the most fitting databases needs particular thought, such as in systematic reviews and meta-analyses. This comparison can also help librarians and other information experts re-evaluate expensive database procurement strategies. Researchers without institutional access learn which open databases are likely most comprehensive in their disciplines.

Research Status Quo in Traditional Mongolian Medicine: A Bibliometric Analysis on Research Documents in the Web of Science Database

Objective

In this study, the current state of research on traditional Mongolian medicine (TMM) through a bibliometric analysis of research documents located in the Web of Science (WoS) database was assessed.

Methods

The WoS database was searched on September 2021 with the keywords “traditional Mongolian medicine.” Publications on TMM scientific research were included in this study, without any language limitations. Bibliometric data from such publications were retrieved from the WoS database. Full records with cited reference lists were descriptively analyzed. To assess trends in TMM research topics, authors' keywords were analyzed. A thematic evolution map based on coword analysis was suggested. To analyze research networks among co-authors, affiliations, or countries of the authors, collaboration networks were evaluated. The Bibliometrix R package (3.1) was used for the analysis.

Results

A total of 234 scientific publications were included in the analysis. The top three countries of origin of the corresponding authors were China (n = 153), Japan (n = 28), and South Korea (n = 9). The top three relevant affiliations of the authors in the included publications were “Inner Mongolia Medical University,” “Inner Mongolia University of Nationalities,” and “National University of Mongolia.” “Flavonoids,” “cytotoxicity,” “NMR,” and “Tibetan medicine” were the most frequently used keywords in the included documents. Most publications focused on the chemical analysis and mechanism of effects of Mongolian herbal medications. There were few publications on nonpharmacological interventions such as bloodletting or TMM diagnostics, which should be promoted in future publications.

Conclusion

There were only a limited number of publications on TMM identified through a search of the WoS database, using the keywords “Traditional Mongolian medicine.” More improved strategy for searching for TMM publications must be established. Research publications on TMM, especially regarding nonpharmacological interventions, need to be promoted. In addition, collaboration with researchers worldwide needs to be encouraged in the future.

Supply chain resilience: A review, conceptual framework and future research

Purpose

The study identifies nine important research areas and critically maps the structural relationships among supply chain resilience (SCRES) dimensions, namely, vulnerabilities, capabilities, strategies and performance metrics. The analysis also revealed various influential authors, journals, institutions and trending articles, across SCRES literature.

Design/methodology/approach

This study performs a bibliometric analysis of 771 articles published over the 32 years from 1988 to 2020, and network analysis in combination with content analysis of 90 most cited articles published in research fronts of SCRES.

Findings

The results demonstrate the underlying research areas within the SCRES, which are clustered into nine research themes: (1) conceptual development of SCRES, (2) recent developments of designing resilient supply chain (SC) networks, (3) focus on identifying drivers of SC vulnerability and risks, (4) impact of risks on network resilience, (5) risk assessment to avoid breakdowns/disruptions, (6) measuring resilience approaches/drivers to improve SC performance, (7) building resilient capabilities by integrating other SC dimensions, (8) quantification of SC network and (9) emphasis on developing robustness in SC networks.

Practical implications

This research offers implications for classifying the works in literature based on bibliometric information and network analysis techniques. This can help researchers and practitioners to understand the prominent areas in SCRES and provide guidelines for future research in this area.

Originality/value

This study provides an overview of the evolution of SCRES over time in the domain of supply chain management and also outlines a future research agenda claimed by the trending articles to encourage further investigations in the field of SCRES.

Behavioral strategy: mapping the trends, sources and intellectual evolution

Purpose

This paper presents a comprehensive review of academic research dedicated to the field of Behavioral Strategy. Based on a series of Bibliometric and network analyses, the paper identifies the prominent trend and growth patterns pertaining to the evolution of this important strategic management subfield; it documents which particular journals, articles and authors have most influenced its development, and it maps the intellectual structure and network of authors, publications and countries. Finally, the paper considers the substantive research themes emerging from the analyses reported, in terms of their implications for future work.

Design/methodology/approach

The authors undertook a series of Bibliometric and network analyses of 217 relevant articles, published between 1975 and 2020, in journals listed in the Scopus database, using R-studio and VOSviewer. Articles incorporated in the study were selected based on relevant key terms searched from the title, abstract and list of keywords associated with each publication.

Findings

The results demonstrate that behavioral strategy has enjoyed robust and sustained growth, with widespread impact across many areas of the heterogeneous business and management field as a whole. Three distinct periods are identified: an infancy stage (prior to 1999); a steady growth stage (1999–2010); and a take-off stage (2011 onwards). The top three journals in terms of content coverage, based on the number of relevant articles published in relation to behavioral strategy, are Strategic Management Journal, Advances in Strategic Management (AiSM) and the Journal of Management, while the top three most influential journals, in terms of citations pertaining to Behavioral Strategy, based on an analysis of citations in the Scopus database, are Strategic Management Journal, Academy of Management Perspectives and Journal of Management Studies. Gerard P. Hodgkinson and Thomas C. Powell are the most prolific authors. The emerging themes based on intellectual structures have been identified as Behavioral Strategy, Behavioral Theory of Firm; Strategic Leadership and Dynamic Capabilities; and Strategic Cognition and Decision Making.

Practical implications

The study contributes to knowledge advancement concerning Behavioral Strategy by opening new possibilities to discover important research areas.

Originality/value

The study is the first of its kind on Behavioral Strategy providing a comprehensive systematic literature review.

Are business and management journals anti-replication? An analysis of editorial policies

Purpose

This study aims to explore the degree to which the editorial policies of business and management journals explicitly or implicitly discourage replication studies.

Design/methodology/approach

The paper examines differences in editorial policy toward replication studies relative to journal quality, age and sub-discipline area. A total of 600 journals (listed as Q1 and Q2 in Scopus) were selected for the current study.

Findings

The results reveal that out of 600 selected journals, only 28 (4.7%) were explicitly open to considering replication studies, while 331 (55.2%) were neutral, being neither explicitly nor implicitly dismissive of replication studies. A further 238 (39.7%) were implicitly dismissive of replication studies, and the remaining 3 (0.5%) journals were explicitly disinterested in considering replication studies for publication. CiteScore and Source Normalized Impact per Paper (SNIP) of neutral journals were significantly lower than those of journals, which were implicitly discouraging replication research. With regard to the journals implicitly discouraging replications (238), journals in the subcategory of business and international management (51) had the highest percentage (21.4%) followed by strategy and management 30 (12.6%) and Organizational Behavior (OB) and Human Resource (HR) 25 (10.5%).

Originality/value

The available literature does not explore the degree to which the editorial policies of business and management journals explicitly or implicitly discourage replication studies. The current study attempts to address this gap in the literature. Given the lack of support for replications among business and management journals, the current paper sets forth the suggested steps which are deemed crucial for moving beyond the replication crisis in the business and management field.

The Research on Organizational Justice in Scopus Indexed Journals: A Bibliometric Analysis of Seven Decades

The organizational justice terminology has had a long journey to become one of the significant contributors to organizational success. Recently, an intense global upsurge in the use of organizational justice terms in publications has forced us for this bibliometric analysis in order to look at the overall publications on organizational justice. The objective of the current research is to advance knowledge about organizational justice research trends using Scopus database and bibliometric analysis research. The analysis was performed to see the publication trends between the years 1941 and 2018; it used authors, journals, countries, academic discipline, research institutes/universities, and various keywords related to organizational justice as search words. After careful consideration and using multiple checkpoints for eliminating irrelevant studies, 5,650 research articles were analyzed. In the realm of organizational justice, procedural justice was the most frequently occurred among other dimensions. Moreover, variables such as organizational trust, job satisfaction, organizational commitment, citizenship behavior, ethics, and turnover are major concepts that occurred within organizational justice research. Some variables with infrequent occurrences, along with future recommendations and study limitations, are also discussed.

iOntoBioethics: A Framework for the Agile Development of Bioethics Ontologies in Pandemics, Applied to COVID-19

Background: Few ontological attempts have been reported for conceptualizing the bioethics domain. In addition to limited scope representativeness and lack of robust methodological approaches in driving research design and evaluation of bioethics ontologies, no bioethics ontologies exist for pandemics and COVID-19. This research attempted to investigate whether studying the bioethics research literature, from the inception of bioethics research publications, facilitates developing highly agile, and representative computational bioethics ontology as a foundation for the automatic governance of bioethics processes in general and the COVID-19 pandemic in particular.

Research Design: The iOntoBioethics agile research framework adopted the Design Science Research Methodology. Using systematic literature mapping, the search space resulted in 26,170 Scopus indexed bioethics articles, published since 1971. iOntoBioethics underwent two distinctive stages: (1) Manually Constructing Bioethics (MCB) ontology from selected bioethics sources, and (2) Automatically generating bioethics ontological topic models with all 26,170 sources and using special-purpose developed Text Mining and Machine-Learning (TM&ML) engine. Bioethics domain experts validated these ontologies, and further extended to construct and validate the Bioethics COVID-19 Pandemic Ontology.

Results: Cross-validation of the MCB and TM&ML bioethics ontologies confirmed that the latter provided higher-level abstraction for bioethics entities with well-structured bioethics ontology class hierarchy compared to the MCB ontology. However, both bioethics ontologies were found to complement each other forming a highly comprehensive Bioethics Ontology with around 700 concepts and associations COVID-19 inclusive.

Conclusion:The iOntoBioethics framework yielded the first agile, semi-automatically generated, literature-based, and domain experts validated General Bioethics and Bioethics Pandemic Ontologies Operable in COVID-19 context with readiness for automatic governance of bioethics processes. These ontologies will be regularly and semi-automatically enriched as iOntoBioethics is proposed as an open platform for scientific and healthcare communities, in their infancy COVID-19 learning stage. iOntoBioethics not only it contributes to better understanding of bioethics processes, but also serves as a bridge linking these processes to healthcare systems. Such big data analytics platform has the potential to automatically inform bioethics governance adherence given the plethora of developing bioethics and COVID-19 pandemic knowledge. Finally, iOntoBioethics contributes toward setting the first building block for forming the field of “Bioethics Informatics”.

Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World

Nowadays, the importance of bibliographic databases (DBs) has increased enormously, as they are the main providers of publication metadata and bibliometric indicators universally used both for research assessment practices and for performing daily tasks. Because the reliability of these tasks firstly depends on the data source, all users of the DBs should be able to choose the most suitable one. Web of Science (WoS) and Scopus are the two main bibliographic DBs. The comprehensive evaluation of the DBs’ coverage is practically impossible without extensive bibliometric analyses or literature reviews, but most DBs users do not have bibliometric competence and/or are not willing to invest additional time for such evaluations. Apart from that, the convenience of the DB’s interface, performance, provided impact indicators and additional tools may also influence the users’ choice. The main goal of this work is to provide all of the potential users with an all-inclusive description of the two main bibliographic DBs by gathering the findings that are presented in the most recent literature and information provided by the owners of the DBs at one place. This overview should aid all stakeholders employing publication and citation data in selecting the most suitable DB.

The Entropy Universe

About 160 years ago, the concept of entropy was introduced in thermodynamics by Rudolf Clausius. Since then, it has been continually extended, interpreted, and applied by researchers in many scientific fields, such as general physics, information theory, chaos theory, data mining, and mathematical linguistics. This paper presents The Entropy Universe, which aims to review the many variants of entropies applied to time-series. The purpose is to answer research questions such as: How did each entropy emerge? What is the mathematical definition of each variant of entropy? How are entropies related to each other? What are the most applied scientific fields for each entropy? We describe in-depth the relationship between the most applied entropies in time-series for different scientific fields, establishing bases for researchers to properly choose the variant of entropy most suitable for their data. The number of citations over the past sixteen years of each paper proposing a new entropy was also accessed. The Shannon/differential, the Tsallis, the sample, the permutation, and the approximate entropies were the most cited ones. Based on the ten research areas with the most significant number of records obtained in the Web of Science and Scopus, the areas in which the entropies are more applied are computer science, physics, mathematics, and engineering. The universe of entropies is growing each day, either due to the introducing new variants either due to novel applications. Knowing each entropy's strengths and of limitations is essential to ensure the proper improvement of this research field.

Bibliometric Analysis of the Results of Cardio-Oncology Research

Objective

To analyze the development of cardio-oncology, summarize the research achievements, and provide proposals for its future research.

Methods

The web of science database was used to search for “cardio-oncology” and “oncocardiology” related articles from the beginning of the database (1970) to April 5, 2019. Excel 2016 and Cytoscape were used to analyze the trend of cardio-oncology research.

Results

A total of 356 articles were obtained. The number of articles has grown rapidly in recent years. Cardiac injury caused by tumor therapy was a research hotspot (n = 107). Researchers paid more attention to the prevention and treatment of cardiotoxicity (n = 54). Experimental researches were a small part of all studies (n = 72), mainly focusing on the study of cancer drugs' cardiac injury, test indicators of cardiotoxicity, and preventive drugs. The United States (n = 156.25), Italy (n = 48.5), and Canada (n = 23.5) published the most articles, making a great contribution to the development of cardio-oncology.

Conclusions

Cardio-oncology has been developing rapidly and receiving a large amount of research efforts in recent years. Most articles on cardio-oncology were published by the authors from the United States (44%) and Italy (17%), while other countries need to pay more attention to cardio-oncology. As an independent discipline, cardio-oncology is certainly in need of significant progress, but it has formed a basic framework, which has obtained many leading theories and meaningful achievements in diagnostic criteria, diagnostic methods, prevention and treatment, mechanism research, and influencing factor. Cardiac injury of tumor drugs has always been a research hotspot in this discipline, and there is still a lot of research space. The research about detection methods of cardiotoxicity and preventive drugs is gradually increasing. Basic research lags behind, and many mechanisms are still unclear.

Comparison of bibliographic data sources: Implications for the robustness of university rankings

Universities are increasingly evaluated on the basis of their outputs. These are often converted to simple and contested rankings with substantial implications for recruitment, income, and perceived prestige. Such evaluation usually relies on a single data source to define the set of outputs for a university. However, few studies have explored differences across data sources and their implications for metrics and rankings at the institutional scale. We address this gap by performing detailed bibliographic comparisons between Web of Science (WoS), Scopus, and Microsoft Academic (MSA) at the institutional level and supplement this with a manual analysis of 15 universities. We further construct two simple rankings based on citation count and open access status. Our results show that there are significant differences across databases. These differences contribute to drastic changes in rank positions of universities, which are most prevalent for non-English-speaking universities and those outside the top positions in international university rankings. Overall, MSA has greater coverage than Scopus and WoS, but with less complete affiliation metadata. We suggest that robust evaluation measures need to consider the effect of choice of data sources and recommend an approach where data from multiple sources is integrated to provide a more robust data set.

TeKET: a Tree-Based Unsupervised Keyphrase Extraction Technique

Automatic keyphrase extraction techniques aim to extract quality keyphrases for higher level summarization of a document. Majority of the existing techniques are mainly domain-specific, which require application domain knowledge and employ higher order statistical methods, and computationally expensive and require large train data, which is rare for many applications. Overcoming these issues, this paper proposes a new unsupervised keyphrase extraction technique. The proposed unsupervised keyphrase extraction technique, named TeKET or Tree-based Keyphrase Extraction Technique, is a domain-independent technique that employs limited statistical knowledge and requires no train data. This technique also introduces a new variant of a binary tree, called KeyPhrase Extraction (KePhEx) tree, to extract final keyphrases from candidate keyphrases. In addition, a measure, called Cohesiveness Index or CI, is derived which denotes a given node’s degree of cohesiveness with respect to the root. The CI is used in flexibly extracting final keyphrases from the KePhEx tree and is co-utilized in the ranking process. The effectiveness of the proposed technique and its domain and language independence are experimentally evaluated using available benchmark corpora, namely SemEval-2010 (a scientific articles dataset), Theses100 (a thesis dataset), and a German Research Article dataset, respectively. The acquired results are compared with other relevant unsupervised techniques belonging to both statistical and graph-based techniques. The obtained results demonstrate the improved performance of the proposed technique over other compared techniques in terms of precision, recall, and F1 scores.

Detection of Communities within the Multibody System Dynamics Network and Analysis of Their Relations

Multibody system dynamics is already a well developed branch of theoretical, computational and applied mechanics. Thousands of documents can be found in any of the well-known scientific databases. In this work it is demonstrated that multibody system dynamics is built of many thematic communities. Using the Elsevier’s abstract and citation database SCOPUS, a massive amount of data is collected and analyzed with the use of the open source visualization tool Gephi. The information is represented as a large set of nodes with connections to study their graphical distribution and explore geometry and symmetries. A randomized radial symmetry is found in the graphical representation of the collected information. Furthermore, the concept of modularity is used to demonstrate that community structures are present in the field of multibody system dynamics. In particular, twenty-four different thematic communities have been identified. The scientific production of each community is analyzed, which allows to predict its growing rate in the next years. The journals and conference proceedings mainly used by the authors belonging to the community as well as the cooperation between them by country are also analyzed.

An evaluation of Web of Science, Scopus and Google Scholar citations in operations management

Purpose

Ongoing deliberation about how research productivity should be measured is exacerbated by extensive disparity between the number of citations for scholarly works reported by commercial academic search engines and Google Scholar (GS), the premier web crawling service for discovering research citations. Disparities identified in citation comparison studies have also led to disagreement about the value of the higher number of citations for social sciences and business scholarly articles consistently reported by GS. The purpose of this paper is to extend previous database citation comparison studies by manually analyzing a sample of unique GS citations to a leading operations management journal (i.e. citations found only in GS and not the commercial search engines) to reveal just where these additional citations are coming from.

Design/methodology/approach

In addition to comparing citation counts for the three databases, unique GS citation data for the sample of journal articles was manually captured and reviewed. The authors’ approach provides a much more in-depth examination of the provenance of GS citations than is found in previous studies.

Findings

The findings suggest that concerns about the value of unique GS citations may not be warranted since the document types for the unique GS citing documents identified in the analysis are dominated by familiar scholarly formats. Predominantly authentic and validated journal publications, dissertations, conference papers, and book and book chapters accounted for the large majority of the unique GS citations analyzed.

Practical implications

The study lends further credence to contentions that the use of citations reported in GS is appropriate for evaluating research impact in disciplines where other formats beyond the English-language journal article are valued.

Originality/value

Developing a more informed understanding of the provenance of unique GS citations in the authors’ field is important because many scholars not only aspire to publish in elite journals with high impact factors based on citation counts provided by commercial databases to demonstrate quality, but also report the larger number of citations for their publications that are reported by GS to demonstrate impact. The in-depth manual analysis suggests that GS provides a more nuanced and comprehensive representation of research impact and international scope than the commercial databases.

Coauthor Country Affiliations in International Collaborative Research Funded by the US National Institutes of Health, 2009 to 2017

IMPORTANCE

The US National Institutes of Health (NIH) is the largest funder of biomedical and behavioral research in the world. International collaborative research-a subset of NIH's portfolio-is critical to furthering the agency's health research mission.

OBJECTIVE

To quantify the extent of the NIH's international collaborations and the relative importance of this research through the lens of publications.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used bibliometric data from the Web of Science database to analyze trends in the growth of NIH-funded publications from January 1, 2009, to December 31, 2017, and examined their importance using national affiliations of all coauthors listed, h indices, and citation impact scores. All countries with coauthor affiliations in NIH-funded publications during the study period were included. Data were analyzed from October 22 through November 16, 2018.

EXPOSURES

Country affiliations of coauthors' institutions in NIH-funded publications indexed in the Web of Science database from 2009 to 2017.

MAIN OUTCOMES AND MEASURES

Trends in the number of NIH-supported publications with non-US coauthors during a 9-year period and their relative importance assessed by h index per country and category-normalized citation impact (CNCI) for groups of country affiliations in 2017.

RESULTS

From 2009 to 2017, the annual count of NIH-funded publications increased 46.2% from 67 041 to 98 002. This increase was driven in part by an increase in publications with a non-US author alone or as a collaborator with a US author compared with those exclusively with US authors, reflected by an increase in the percentage of publications with non-US coauthors from 28.3% to 34.8%. Moreover, in 2017, publications coauthored by US-affiliated and non-US-affiliated investigators had a higher mean CNCI (1.99) than those whose authors were only US affiliated (1.54) or non-US affiliated (1.35). China became the most frequent publishing partner, with 6982 coauthored publications and the greatest increase over time among non-US countries.

CONCLUSIONS AND RELEVANCE

In a 9-year period when the NIH budget remained relatively unchanged, an increase in the number of publications occurred with a growing trend toward more international collaborations of authorship; these publications also had a higher CNCI than publications with only US or only non-US authors. The findings suggest that international collaboration is a vital and growing component of the NIH's research output and likely reflects increased globalization of biomedical research.

[Half a century of ANALES DE PEDIATRÍA. Evolution of its main bibliometric indicators in the Web of Science and Scopus international databases]

PURPOSE

To analyse the coverage and main bibliometric indicators of ANALES DE PEDIATRÍA in Scopus and Science Citation Index Expanded of the Web of Science (SCIE) databases.

MATERIAL AND METHOD

The evolution of the journal production was identified according to the document types, collaboration indexes between authors and institutions, and citations, and impact indicators (number of citations, impact factor, 5-years impact factor and without self-citations, Scimago Journal Rank, quartile, h index and most cited works).

RESULTS

A total of 10,128 papers were included in Scopus (a mean of around 225 per year) and 1,861 in SCIE (a mean of around 207 per year). The index of collaboration was 4.4 for authors and 2 for institutions. There was international collaboration in 4.2% of the papers. The number of citations received in Scopus (619) exceeded the number of citations received in SCIE (385) by 234. The mean number of citations per paper was lower in SCIE (2.27 in Scopus compared to 1.5 in SCIE). The h index was 18 in Scopus and 14 in SCIE.

CONCLUSIONS

Discrepancies were observed in the indicators obtained in both databases due to the different indexation policies, coverage, and classification methods of the papers. The number of citations, the mean number of citations per work, and the h index were higher in Scopus due to the longer life of the journal in that database. There is a positive evolution of the impact factor in SCIE, of the impact factor excluding self-citations, and of the 5-year impact factor.

Analysis of Research Topics and Scientific Collaborations in Renewable Energy Using Community Detection

Renewable energy is a key breakthrough to mitigate carbon emissions, to reduce global warming, and for the creation of sustainable societies. Renewable energy is a broad area that includes different technologies that are being continuously improved to increase their efficiency and reduce cost. Many papers have been published in the last decades dealing with renewable energy issues, which is why it becomes important to determine the main topics of research, the main publications devoted to publishing scientific papers about renewable energy, and how researchers collaborate in this discipline. With these aims in view, this paper presents an advanced method for analysing publications about renewable energy and scientific collaboration networks in this field. This method is based on automatically obtaining bibliographic data from scientific publications through the use of the Scopus Database API Interface, which are then analysed using community detection algorithms and graph visualization software. The results obtained show that it is possible to determine the main areas of research activity as well as to identify the structures of the collaboration network in the field of renewable energy.

Biomedical text mining for research rigor and integrity: tasks, challenges, directions

An estimated quarter of a trillion US dollars is invested in the biomedical research enterprise annually. There is growing alarm that a significant portion of this investment is wasted because of problems in reproducibility of research findings and in the rigor and integrity of research conduct and reporting. Recent years have seen a flurry of activities focusing on standardization and guideline development to enhance the reproducibility and rigor of biomedical research. Research activity is primarily communicated via textual artifacts, ranging from grant applications to journal publications. These artifacts can be both the source and the manifestation of practices leading to research waste. For example, an article may describe a poorly designed experiment, or the authors may reach conclusions not supported by the evidence presented. In this article, we pose the question of whether biomedical text mining techniques can assist the stakeholders in the biomedical research enterprise in doing their part toward enhancing research integrity and rigor. In particular, we identify four key areas in which text mining techniques can make a significant contribution: plagiarism/fraud detection, ensuring adherence to reporting guidelines, managing information overload and accurate citation/enhanced bibliometrics. We review the existing methods and tools for specific tasks, if they exist, or discuss relevant research that can provide guidance for future work. With the exponential increase in biomedical research output and the ability of text mining approaches to perform automatic tasks at large scale, we propose that such approaches can support tools that promote responsible research practices, providing significant benefits for the biomedical research enterprise.