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

[PDF] JebariC-Scientometrics-2021.pdf (2.782Mb)
Identificadores
URI: https://hdl.handle.net/10481/109398
DOI: 10.1007/s11192-020-03858-y
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Author
Jebari, Chaker; Herrera Viema, Enrique; Cobo Martín, Manuel Jesús
Editorial
Springer Nature
Materia
Citation context
 
Research trends
 
Topic modeling
 
Biomedical and life sciences
 
Date
2021-02-05
Referencia bibliográfica
Jebari, C; Herrera-Viedma, E; Cobo, MJ. The use of citation context to detect the evolution of research topics: a large‑scale analysis. Scientometrics, 126, 2971-2989. https://doi.org/10.1007/s11192-020-03858-y
Sponsorship
Spanish Ministry of Science and Innovation PID2019-105381GA-I00 (iScience), PID2019-103880RB-I00
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.
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