0000000000602950

AUTHOR

Sergio Marugán-lázaro

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Comparison of MeSH terms and KeyWords Plus terms for more accurate classification in medical research fields. A case study in cannabis research

2021

Abstract KeyWords Plus and Medical Subject Headings (MeSH) are widely used in bibliometric studies for topic mapping. The objective of this study is to compare the two description systems in documents about cannabis research to find the concordance between systems and establish whether there is neutrality in topic mapping. A total of 25,593 articles from 1970 to 2019 were drawn from Web of Science's Core Collection and Medline and analyzed. The tidytext library, Zipf's law, topic modeling tools, the contingency coefficient, Cramer's V, and Cohen's kappa were used. The results included 10,107 MeSH terms and 28,870 KeyWords Plus terms. The Zipf distribution of the terms was different for each…

Topic modelContingency tableInformation retrievalZipf's lawComputer scienceConcordanceMEDLINESubject (documents)Library and Information SciencesManagement Science and Operations ResearchComputer Science ApplicationsCohen's kappaMedia TechnologyKappaInformation SystemsInformation Processing & Management
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