The use of citation context to detect the evolution of research topics: a large-scale analysis

Chaker Jebari (), Enrique Herrera-Viedma and Manuel Jesus Cobo
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Chaker Jebari: University of Technology and Applied Sciences
Enrique Herrera-Viedma: University of Granada
Manuel Jesus Cobo: University of Cádiz

Scientometrics, 2021, vol. 126, issue 4, No 11, 2989 pages

Abstract: Abstract With the exponential increase in the number of published papers, discovering how topics evolve becomes increasingly important for anybody involved in research, including researchers, institutes, research funding bodies, and decision-makers. This study proposes a large-scale analysis of the evolution of biomedical and life sciences using the citation contexts of the collected papers, or more precisely their citing sentences. Using 64,350 papers published in PubMed Central between 2008 and 2018, we determined the research trends for ten research topics. Moreover, we studied how these topics evolve across countries and across the most common journals in biomedical and life sciences.

Keywords: Citation context; Research trends; Topic modeling; Biomedical and life sciences (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:126:y:2021:i:4:d:10.1007_s11192-020-03858-y

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DOI: 10.1007/s11192-020-03858-y

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