Appreciation of literature by the anaesthetist: A comparison of citations, downloads and Altmetric Attention Score

Acta Anaesthesiol Scand. 2020 Jul;64(6):823-828. doi: 10.1111/aas.13575. Epub 2020 Mar 16.

Abstract

Background: Different metrics exist to evaluate the impact of a paper. Traditionally, scientific citations are leading, but nowadays new, internet-based, metrics like downloads or Altmetric Attention Score receive increasing attention. We hypothesised a gap between these metrics, reflected by a divergence between scientific and clinical appreciation of anaesthesia literature.

Methods: We collected the top 100 most cited and the top 100 most downloaded articles in Acta Anaesthesiologica Scandinavica (AAS) and Anesthesia & Analgesia (A&A) published between 2014 and 2018. We analysed the relationship between the average number of citations per year, downloads per year and Altmetric Attention Score.

Results: For both AAS and A&A, a significant correlation between the 100 most cited articles and their downloads (r = .573 and .603, respectively, P < .001) was found. However, only a poor correlation with Altmetric Attention Score was determined. For the 100 most downloaded articles, download frequency did not correlate with their number of citations (r = .035 and .139 respectively), but did correlate significantly with the Altmetric Attention Score (r = .458 and .354, P < .001).

Conclusion: Highly cited articles are downloaded more frequently. The most downloaded articles, however, did not receive more citations. In contrast to the most cited articles, more frequently downloaded papers had a higher Altmetric Attention Score. Thus, a 'trending' anaesthesia paper is not a prerequisite for scientific appreciation, reflecting a gap between clinical and scientific appreciation of literature.

Publication types

  • Comparative Study

MeSH terms

  • Anesthesiology / statistics & numerical data*
  • Anesthetists / statistics & numerical data*
  • Benchmarking / methods*
  • Benchmarking / statistics & numerical data
  • Humans
  • Internet / statistics & numerical data*
  • Journal Impact Factor*
  • Periodicals as Topic / statistics & numerical data*