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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

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dc.affiliation.dptoUC3M. Departamento de Biblioteconomía y Documentaciónes
dc.contributor.authorValderrama Zurián, Juan Carlos
dc.contributor.authorGarcía Zorita, José Carlos
dc.contributor.authorMarugán Lázaro, Sergio
dc.contributor.authorSanz Casado, Elías
dc.contributor.funderComunidad de Madrides
dc.date.accessioned2023-12-14T10:43:28Z
dc.date.available2023-12-14T10:43:28Z
dc.date.issued2021-09-01
dc.description.abstractKeyWords 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 system in terms of slope and specificity. The documents were classified into seven topics, and the MeSH system proved better at classification. The kappa coefficient between the two systems was 0.477 (for gamma ≥ 0.2); the topics related with human beings presented higher concordance. The use of KeyWords Plus for topic analyses in biomedical areas is not neutral, and this point needs to be taken into account in interpreting results.en
dc.description.sponsorshipJuan Carlos Valderrama-Zurián was the beneficiary of a grant from the Valencian Regional Ministry of Innovation, Universities, Science, and Digital Society to carry out postdoctoral research at Carlos III University of Madrid (BEST/2020/121). This research has also been funded by Program H2019/HUM-5744 CM-INCLUSIVA-CM, under the Community of Madrid's 2019 call for grants for R&D programs in social sciences and humanities.es
dc.identifier.bibliographicCitationValderrama-Zurián, J. C., García-Zorita, C., Marugán- Lázaro, S., Sanz-Casado, E. (2021). Comparison of MeSH terms and KeyWords Plus terms for more accurate classification in medical research fields. A case study in cannabis research. Information Processing & Management, 58(5), 102658es
dc.identifier.doihttps://doi.org/10.1016/j.ipm.2021.102658
dc.identifier.issn0306-4573
dc.identifier.publicationissue5
dc.identifier.publicationtitleINFORMATION PROCESSING & MANAGEMENTen
dc.identifier.publicationvolume58
dc.identifier.urihttps://hdl.handle.net/10016/39088
dc.identifier.uxxiAR/0000028611
dc.language.isoenges
dc.publisherElsevieres
dc.relation.projectIDComunidad de Madrid. H2019/HUM-5744 CM-INCLUSIVA-CMes
dc.rights© 2021 Elsevier Ltd. All rights reserved.es
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaBiblioteconomía y Documentaciónes
dc.subject.otherMesh Termsen
dc.subject.otherKeywords Plusen
dc.subject.otherSubject Mappingen
dc.subject.otherClassification Systemsen
dc.subject.otherCannabis Researchen
dc.titleComparison of MeSH terms and KeyWords Plus terms for more accurate classification in medical research fields. A case study in cannabis researchen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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