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dc.contributor.authorJebari, Chaker
dc.contributor.authorHerrera Viema, Enrique
dc.contributor.authorCobo Martín, Manuel Jesús 
dc.date.accessioned2026-01-09T11:27:52Z
dc.date.available2026-01-09T11:27:52Z
dc.date.issued2021-02-05
dc.identifier.citationJebari, 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-yes_ES
dc.identifier.urihttps://hdl.handle.net/10481/109398
dc.descriptionThis work has been supported by the Spanish Ministry of Science and Innovation under Grants PID2019-105381GA-I00 (iScience) and PID2019-103880RB-I00.es_ES
dc.description.abstractWith 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.es_ES
dc.description.sponsorshipSpanish Ministry of Science and Innovation PID2019-105381GA-I00 (iScience), PID2019-103880RB-I00es_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.subjectCitation contextes_ES
dc.subjectResearch trendses_ES
dc.subjectTopic modelinges_ES
dc.subjectBiomedical and life scienceses_ES
dc.titleThe use of citation context to detect the evolution of research topics: a large‑scale analysises_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1007/s11192-020-03858-y
dc.type.hasVersionVoRes_ES


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