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dc.contributor.authorHerrera Viedma, Enrique 
dc.date.accessioned2020-12-01T11:15:14Z
dc.date.available2020-12-01T11:15:14Z
dc.date.issued2020
dc.identifier.citationHerrera-Viedma, Enrique; López-Robles, José-Ricardo; Guallar, Javier; Cobo, Manuel-Jesús (2020). “Global trends in coronavirus research at the time of Covid-19: A general bibliometric approach and content analysis using SciMAT”. El profesional de la información, v. 29, n. 3, e290322. [https://doi.org/10.3145/epi.2020.may.22]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/64562
dc.description.abstractCovid-19 represents the greatest challenge facing mankind today. In December 2019, several cases of pneumonia of unknown etiology were reported from China. This coronavirus infection subsequently identified as Covid-19 aroused worldwide concern. As a result, the scientific community has focused attention on Covid-19, as revealed by recent research reported in literature based on a holistic approach. In this regard, this study conducts a bibliometric analysis of coronavirus research in the literature with an emphasis on Covid-19 disease, using as a reference the publications in the Web of Science Core Collection from 1970 to 2020. This research analyzes 12,571 publications from 1970 to (April 18) 2020 by applying advanced bibliometric techniques in SciMAT bibliometric analysis software. The current research therefore provides a complete conceptual analysis of the main coronavirus types and strains in the literature by quantifying the main bibliometric performance indicators, identifying the main authors, organizations, countries, sources, and research areas, and evaluating the development of this field. Furthermore, a science map is constructed to understand the corresponding intellectual structure and main research lines (themes). SciMAT thereby offers a complete approach to the field and evaluates the main performance indicators related to coronavirus, with a focus on Covid-19. Finally, this research serves as a framework to strengthen existing research lines and develop new ones, establishing synergistic relationships that were not visible without the maps generated herein.es_ES
dc.description.sponsorship"Culture and Digital Content" consolidated research group - Agency for the Management of University and Research Grants (Agaur) of the Generalitat de Catalunya SGR 2017-422es_ES
dc.description.sponsorshipEuropean Union (EU) TIN2016-75850-Res_ES
dc.description.sponsorshipConsejo Nacional de Ciencia y Tecnologia (CONACyT)es_ES
dc.description.sponsorshipMexican Direccion General de Relaciones Internacionales (DGRI)es_ES
dc.language.isoenges_ES
dc.publisherEDICIONES PROFESIONALES INFORMACION SL-EPIes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectCOVID-19es_ES
dc.subjectCoronaviruses_ES
dc.subjectPandemices_ES
dc.subjectVirus diseases es_ES
dc.subjectNovel coronaviruses_ES
dc.subjectCo-word analysises_ES
dc.subjectStrategic Intelligencees_ES
dc.subjectMapping analysises_ES
dc.subjectBibliometric analysises_ES
dc.subjectSciMATes_ES
dc.titleGlobal trends in coronavirus research at the time of Covid-19: A general bibliometric approach and content analysis using SciMATes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3145/epi.2020.may.22


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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España