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A leading bibliometric author does not have a dominant contribution to research based on the CJAL score: Bibliometric analysis
A total of 22,367 bibliometric articles have been indexed by Web of Science (WoS). The most significant contribution to the field has not yet been identified through bibliometric analysis. A comparison of individual research achievements (IRAs) and trend analysis of article citations are required af...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839291/ https://www.ncbi.nlm.nih.gov/pubmed/36637941 http://dx.doi.org/10.1097/MD.0000000000032609 |
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author | Tam, Hon-Pheng Hsieh, Wan-Ting Chien, Tsair-Wei Chou, Willy |
author_facet | Tam, Hon-Pheng Hsieh, Wan-Ting Chien, Tsair-Wei Chou, Willy |
author_sort | Tam, Hon-Pheng |
collection | PubMed |
description | A total of 22,367 bibliometric articles have been indexed by Web of Science (WoS). The most significant contribution to the field has not yet been identified through bibliometric analysis. A comparison of individual research achievements (IRAs) and trend analysis of article citations are required after extracting bibliometric articles. The study aimed to confirm whether the leading author has a dominant RA and which articles are worth reading for readers using trend analysis. METHODS: We identified authors with at least 100 articles related to bibliometrics in the WoS core collection. A total of 399 articles were collected to cluster author collaborations. Co-word analysis and chord diagrams were used to match chief authors in clusters with Keywords Plus in WoS core collection. The category, journal impact factor, authorship, and L-index (CJAL) score and the absolute advantage coefficient (AAC) were used to compare IRAs and identify the leading author who dominated the field significantly beyond the next 2 authors. In addition to network charts and chord diagrams, 4 visualizations were used to report study results, including a Sankey diagram, a dot plot, a temporal trend graph, and a radar plot. The temporal bubble graph was used to select articles that deserve to be read. RESULTS: The top 3 authors were Lutz Bornmann, Yuh-Shan Ho, and Giovanni Abramo, with CJAL scores of 176.22, 176.02, and 112.06, respectively, from Germany, Italy, and Taiwan. Based on the weak dominance coefficient (AAC = 0.20 < 0.70), it is evident that the leading bibliometric author has no such significant power beyond the next 2 leading authors in IRAs. A trend analysis of the last 4 years was used to illustrate the 2 articles that deserve to be read. CONCLUSION: Three leading authors were identified through a co-word analysis of bibliometrics. There was no evidence of an author who possessed a dominant position due to a lower AAC on the leading author. The CJAL score and the AAC can be applied to many bibliographical studies in the future rather than being limited to bibliometric studies that evaluate the leading authors in a field, as we did in this study. |
format | Online Article Text |
id | pubmed-9839291 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-98392912023-01-17 A leading bibliometric author does not have a dominant contribution to research based on the CJAL score: Bibliometric analysis Tam, Hon-Pheng Hsieh, Wan-Ting Chien, Tsair-Wei Chou, Willy Medicine (Baltimore) 4400 A total of 22,367 bibliometric articles have been indexed by Web of Science (WoS). The most significant contribution to the field has not yet been identified through bibliometric analysis. A comparison of individual research achievements (IRAs) and trend analysis of article citations are required after extracting bibliometric articles. The study aimed to confirm whether the leading author has a dominant RA and which articles are worth reading for readers using trend analysis. METHODS: We identified authors with at least 100 articles related to bibliometrics in the WoS core collection. A total of 399 articles were collected to cluster author collaborations. Co-word analysis and chord diagrams were used to match chief authors in clusters with Keywords Plus in WoS core collection. The category, journal impact factor, authorship, and L-index (CJAL) score and the absolute advantage coefficient (AAC) were used to compare IRAs and identify the leading author who dominated the field significantly beyond the next 2 authors. In addition to network charts and chord diagrams, 4 visualizations were used to report study results, including a Sankey diagram, a dot plot, a temporal trend graph, and a radar plot. The temporal bubble graph was used to select articles that deserve to be read. RESULTS: The top 3 authors were Lutz Bornmann, Yuh-Shan Ho, and Giovanni Abramo, with CJAL scores of 176.22, 176.02, and 112.06, respectively, from Germany, Italy, and Taiwan. Based on the weak dominance coefficient (AAC = 0.20 < 0.70), it is evident that the leading bibliometric author has no such significant power beyond the next 2 leading authors in IRAs. A trend analysis of the last 4 years was used to illustrate the 2 articles that deserve to be read. CONCLUSION: Three leading authors were identified through a co-word analysis of bibliometrics. There was no evidence of an author who possessed a dominant position due to a lower AAC on the leading author. The CJAL score and the AAC can be applied to many bibliographical studies in the future rather than being limited to bibliometric studies that evaluate the leading authors in a field, as we did in this study. Lippincott Williams & Wilkins 2023-01-13 /pmc/articles/PMC9839291/ /pubmed/36637941 http://dx.doi.org/10.1097/MD.0000000000032609 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | 4400 Tam, Hon-Pheng Hsieh, Wan-Ting Chien, Tsair-Wei Chou, Willy A leading bibliometric author does not have a dominant contribution to research based on the CJAL score: Bibliometric analysis |
title | A leading bibliometric author does not have a dominant contribution to research based on the CJAL score: Bibliometric analysis |
title_full | A leading bibliometric author does not have a dominant contribution to research based on the CJAL score: Bibliometric analysis |
title_fullStr | A leading bibliometric author does not have a dominant contribution to research based on the CJAL score: Bibliometric analysis |
title_full_unstemmed | A leading bibliometric author does not have a dominant contribution to research based on the CJAL score: Bibliometric analysis |
title_short | A leading bibliometric author does not have a dominant contribution to research based on the CJAL score: Bibliometric analysis |
title_sort | leading bibliometric author does not have a dominant contribution to research based on the cjal score: bibliometric analysis |
topic | 4400 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839291/ https://www.ncbi.nlm.nih.gov/pubmed/36637941 http://dx.doi.org/10.1097/MD.0000000000032609 |
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