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      An analysis of reporting practices in the top 100 cited health and medicine-related bibliometric studies from 2019 to 2021 based on a proposed guidelines

      research-article
      a , b , c , d ,
      Heliyon
      Elsevier
      Reporting guidelines, Bibliometrics, Scientometrics, Scientific publications

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          Abstract

          Bibliometric analysis has gained popularity as a quantitative research methodology to evaluate scholarly productivity and identify trends within specific research areas. However, there are currently no established reporting guidelines for bibliometric studies. The present study aimed to investigate the reporting practices of bibliometric research related to health and medicine based on a guidelines “Preferred Reporting Items for Bibliometric Analysis (PRIBA)” proposed in this study. The Science Citation Index, Expanded of the Web of Science was used to identify the top 100 articles with the highest normalized citation counts per year. The search was conducted on April 9, 2022, using the search topic “bibliometric” and including publications from 2019 to 2021. The results substantiated the need for a standardized reporting guideline for bibliometric research. Specifically, among the 25 proposed items in the PRIBA, only five were consistently reported across all articles examined. Further, 11 items were reported by at least 80% of the articles, while nine items were reported by less than 80% of the articles. In conclusion, our findings suggest that the reporting practices of bibliometric studies in the field of health and medicine are in need of improvement. Future research should be conducted to refine the PRIBA guidelines.

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          The FAIR Guiding Principles for scientific data management and stewardship

          There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
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            bibliometrix : An R-tool for comprehensive science mapping analysis

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              How to conduct a bibliometric analysis: An overview and guidelines

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                Author and article information

                Contributors
                Journal
                Heliyon
                Heliyon
                Heliyon
                Elsevier
                2405-8440
                27 May 2023
                June 2023
                27 May 2023
                : 9
                : 6
                : e16780
                Affiliations
                [a ]Graduate Institute of Long-term Care, Tzu Chi University of Science and Technology, Hualien City, Hualien, 970302, Taiwan
                [b ]Dalla Lana School of Public Health, University of Toronto, Toronto, ON M5T 3M7, Canada
                [c ]Department of Nursing, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Dalin, Chiayi, Taiwan
                [d ]Graduate Institute of Nursing, National Taipei University of Nursing and Health Sciences, Taipei City, Taiwan
                Author notes
                []Corresponding author. Department of Nursing, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Dalin, Chiayi, Taiwan. t780927t@ 123456yahoo.com.tw
                Article
                S2405-8440(23)03987-7 e16780
                10.1016/j.heliyon.2023.e16780
                10245063
                37292336
                4caf35f1-8294-48ba-9f70-d263cc15151b
                © 2023 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 9 March 2023
                : 19 May 2023
                : 26 May 2023
                Categories
                Research Article

                reporting guidelines,bibliometrics,scientometrics,scientific publications

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