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Use of the bibliometric in rare diseases: taking Wilson disease personally

BACKGROUND: Bibliometric have been widely applied to the evaluation of academic productivity. However, those of individuals or institutions on a specific disease have not been explored. The aim of the present study is to conduct a bibliometric analysis of particular rare disease and investigate whet...

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Autores principales: Chen, Lin, Lou, Zhuoqi, Fang, Yangxin, Pan, Liya, Zhao, Jianhua, Zeng, Yifan, Wang, Ying, Wang, Nan, Ruan, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335981/
https://www.ncbi.nlm.nih.gov/pubmed/35906666
http://dx.doi.org/10.1186/s13023-022-02459-7
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author Chen, Lin
Lou, Zhuoqi
Fang, Yangxin
Pan, Liya
Zhao, Jianhua
Zeng, Yifan
Wang, Ying
Wang, Nan
Ruan, Bing
author_facet Chen, Lin
Lou, Zhuoqi
Fang, Yangxin
Pan, Liya
Zhao, Jianhua
Zeng, Yifan
Wang, Ying
Wang, Nan
Ruan, Bing
author_sort Chen, Lin
collection PubMed
description BACKGROUND: Bibliometric have been widely applied to the evaluation of academic productivity. However, those of individuals or institutions on a specific disease have not been explored. The aim of the present study is to conduct a bibliometric analysis of particular rare disease and investigate whether those doctors and hospitals with higher index screened by this method specialize in this disease. METHODS: A representative rare disease, Wilson disease (WD), was searched on Clarivate Analytics’ Web of Science and Elsevier’s Scopus, which was published in English between 1 January 2001 and 31 December 2020. Clinical authors and medical institutions with the most papers were screened, and their total number of publications and citations, h-index and g-index were computed and then ranked by h-index. RESULTS: A total of 6856 and 6193 papers and 200 and 160 authors were got from WoS and Scopus, respectively. Scopus provided 160 institutions. The above bibliometric indices were calculated in 100 researchers and 80 institutions, and top 30 authors (Top-30a) and top 20 institutions (Top-20i) of them based on the h-index were listed in the tables. Top-30a came from seven specialties and 13 countries whose median (interquartile range) h-index was 14 (12–19.5) (range 10–28) which was located between associate and full professors in some other disciplines. Top-20i was distributed in 13 countries whose mean ± standard deviation of the h-index was 15 ± 4.9 (range 10–27). CONCLUSIONS: The related specialists and medical institutions of WD screened by specific disease bibliometric analysis are eminent and credible and benefit WD patients to obtain reliable medical treatment. This model may be suitable for other rare diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-022-02459-7.
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spelling pubmed-93359812022-07-30 Use of the bibliometric in rare diseases: taking Wilson disease personally Chen, Lin Lou, Zhuoqi Fang, Yangxin Pan, Liya Zhao, Jianhua Zeng, Yifan Wang, Ying Wang, Nan Ruan, Bing Orphanet J Rare Dis Research BACKGROUND: Bibliometric have been widely applied to the evaluation of academic productivity. However, those of individuals or institutions on a specific disease have not been explored. The aim of the present study is to conduct a bibliometric analysis of particular rare disease and investigate whether those doctors and hospitals with higher index screened by this method specialize in this disease. METHODS: A representative rare disease, Wilson disease (WD), was searched on Clarivate Analytics’ Web of Science and Elsevier’s Scopus, which was published in English between 1 January 2001 and 31 December 2020. Clinical authors and medical institutions with the most papers were screened, and their total number of publications and citations, h-index and g-index were computed and then ranked by h-index. RESULTS: A total of 6856 and 6193 papers and 200 and 160 authors were got from WoS and Scopus, respectively. Scopus provided 160 institutions. The above bibliometric indices were calculated in 100 researchers and 80 institutions, and top 30 authors (Top-30a) and top 20 institutions (Top-20i) of them based on the h-index were listed in the tables. Top-30a came from seven specialties and 13 countries whose median (interquartile range) h-index was 14 (12–19.5) (range 10–28) which was located between associate and full professors in some other disciplines. Top-20i was distributed in 13 countries whose mean ± standard deviation of the h-index was 15 ± 4.9 (range 10–27). CONCLUSIONS: The related specialists and medical institutions of WD screened by specific disease bibliometric analysis are eminent and credible and benefit WD patients to obtain reliable medical treatment. This model may be suitable for other rare diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13023-022-02459-7. BioMed Central 2022-07-29 /pmc/articles/PMC9335981/ /pubmed/35906666 http://dx.doi.org/10.1186/s13023-022-02459-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chen, Lin
Lou, Zhuoqi
Fang, Yangxin
Pan, Liya
Zhao, Jianhua
Zeng, Yifan
Wang, Ying
Wang, Nan
Ruan, Bing
Use of the bibliometric in rare diseases: taking Wilson disease personally
title Use of the bibliometric in rare diseases: taking Wilson disease personally
title_full Use of the bibliometric in rare diseases: taking Wilson disease personally
title_fullStr Use of the bibliometric in rare diseases: taking Wilson disease personally
title_full_unstemmed Use of the bibliometric in rare diseases: taking Wilson disease personally
title_short Use of the bibliometric in rare diseases: taking Wilson disease personally
title_sort use of the bibliometric in rare diseases: taking wilson disease personally
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335981/
https://www.ncbi.nlm.nih.gov/pubmed/35906666
http://dx.doi.org/10.1186/s13023-022-02459-7
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