Themes and trends for osteoporosis: the bibliometric and altmetric approach

Arch Osteoporos. 2021 Aug 19;16(1):122. doi: 10.1007/s11657-021-00983-w.

Abstract

Our aim is to evaluate and compare the most discussed articles on osteoporosis in academia and social media. The treatment of osteoporosis was the most popular topic in the top 100 citation (n = 31) and altmetric lists (n = 47). The general public, as well as academia, is curious about the treatment of osteoporosis.

Purpose: The main aim of this study is to investigate the trends in the field of osteoporosis and guide researchers by conducting bibliometric and altmetric analysis for osteoporosis with the most cited and discussed articles on social media.

Methods: The keyword "osteoporosis" was searched from the Web of Science All Databases and Altmetric.com website, and the top 100 (T100) citation and altmetric list was created, respectively. The T100 citation and altmetric list articles were analyzed and compared in terms of study type, topic of study, first author, publication year, citation number, journal quartile in category, impact factor, and Altmetric Attention Score (AAS).

Results: T100 cited articles: the median for citation number was 1117 (range: 717-3854) and the median for AAS was 9 (range: 0-371). T100 altmetric articles: the AAS median was 158 (range: 93-658) and citation number median was 31 (range: 0-2132). Only 6 articles were the same in both lists. The number of articles about treatment was 31 in the T100 citation list and 47 in the T100 altmetric list. The most ranked journals were "The New England Journal of Medicine" with 22 articles in the T100 citation list and "Osteoporosis International" with 16 articles in the T100 altmetric list.

Conclusion: Unlike the citation number, one of the greatest contributions of AAS to researchers may be developing appropriate policies in the field of osteoporosis according to the interests of the society.

Keywords: Altmetric; Bibliometric; Bone mineral density; Fractures; Osteoporosis.

MeSH terms

  • Bibliometrics
  • Databases, Factual
  • Humans
  • Osteoporosis*
  • Research Personnel
  • Social Media*