The performance of bibliometric analyses in the health sciences

Curr Med Res Opin. 2024 Jan;40(1):97-101. doi: 10.1080/03007995.2023.2281503. Epub 2024 Jan 3.

Abstract

A bibliometric analysis (BA) is a knowledge synthesis methodology aimed at quantitively summarizing large amounts of bibliometric data. We aimed to summarize the performance of BAs in the health sciences. We searched Scopus for BAs in the health sciences published prior to May 10, 2023. All identified studies were included. We performed a BA on these studies in two steps: performance analysis and science mapping. For the performance analysis, various indicators of scientific production were calculated using the bibliometrix R package. For the science mapping, VOSviewer was used to generate a co-authorship network and a keyword co-occurrence network. In total, 5,828 BAs were analyzed. Scientific production has exploded in the last years, with more than 1,500 BAs published in 2022 alone. Scientific impact (i.e. citations) has also been rising, although at a lesser pace. The mean number of citations per year per BA was 1.78. China was the most productive country, publishing more BAs than the nine other most productive countries combined. China paradoxically had a lower number of citations per publication compared with the nine other most productive countries. International collaborations were rare. Common BA themes included oncology, public health, neurosciences, mental health, artificial intelligence, and COVID-19. BAs are increasingly common in the health sciences, but their performance remains limited. More international collaborations and standardized guidelines could help improve their performance, notably the frequency at which they are cited.

Keywords: Medicine; bibliometrics; knowledge synthesis; scientometrics; trends.

Publication types

  • Review

MeSH terms

  • Artificial Intelligence*
  • Bibliometrics
  • Efficiency
  • Humans
  • Medicine*
  • Publishing