Application of bibliometrics in medicine: a historical bibliometrics analysis
Copyright policy )Application of bibliometrics in medicine: a historical bibliometrics analysis
AbstractBackgroundThe application of bibliometrics in medicine enables one to analyse vast amounts of publications and their production patterns on macroscopic and microscopic levels.ObjectivesThe aim of the study was to analyse the historical perspective of research literature production regarding application of bibliometrics in medicine.MethodsPublications related to application of bibliometrics in medicine from 1970 to 2018 were harvested from the Scopus bibliographic database. Reference Publication Year Spectroscopy was triangulated with the VOSViewer to identify historical roots and evolution of topics and clinical areas.ResultsThe search resulted in 6557 publications. The literature production trend was positive. Historical roots analysis identified 33 historical roots and 16 clinical areas where bibliometrics was applied.DiscussionThe increase in productivity in application of bibliometrics in medicine might be attributed to increased use of quantitative metrics in research evaluation, publish or perish phenomenon and the increased use of evidence‐based medicine.ConclusionThe trend of the literature production was positive. Medicine was in the forefront of knowledge development in bibliometrics. reference publication year spectroscopy proved to be an accurate method which was able to identify most of the historical roots.
- University of Maribor Slovenia
Bibliometrics, Research Design, Humans, History, 19th Century, History, 20th Century, History, 18th Century, Information Technology, History, 21st Century
Bibliometrics, Research Design, Humans, History, 19th Century, History, 20th Century, History, 18th Century, Information Technology, History, 21st Century
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).357 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 0.1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 0.1%
Citations provided by BIP!Popularity provided by BIP!