Orphanet Journal of Rare Diseases (Jul 2022)

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

  • Lin Chen,
  • Zhuoqi Lou,
  • Yangxin Fang,
  • Liya Pan,
  • Jianhua Zhao,
  • Yifan Zeng,
  • Ying Wang,
  • Nan Wang,
  • Bing Ruan

DOI
https://doi.org/10.1186/s13023-022-02459-7
Journal volume & issue
Vol. 17, no. 1
pp. 1 – 13

Abstract

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Abstract 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.

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