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dc.contributor.authorMoral Muñoz, José Antonio
dc.contributor.authorHerrera Viedma, Enrique 
dc.date.accessioned2020-06-09T13:05:04Z
dc.date.available2020-06-09T13:05:04Z
dc.date.issued2020
dc.identifier.citationMoral-Muñoz, José A.; Herrera-Viedma, Enrique; Santisteban-Espejo, Antonio; Cobo, Manuel J. (2020). “Software tools for conducting bibliometric analysis in science: An up-to-date review”. El profesional de la información, v. 29, n. 1, e290103. https://doi.org/10.3145/epi.2020.ene.03es_ES
dc.identifier.urihttp://hdl.handle.net/10481/62406
dc.description.abstractBibliometrics has become an essential tool for assessing and analyzing the output of scientists, cooperation between universities, the effect of state-owned science funding on national research and development performance and educational efficiency, among other applications. Therefore, professionals and scientists need a range of theoretical and practical tools to measure experimental data. This review aims to provide an up-to-date review of the various tools available for conducting bibliometric and scientometric analyses, including the sources of data acquisition, performance analysis and visualization tools. The included tools were divided into three categories: general bibliometric and performance analysis, science mapping analysis, and libraries; a description of all of them is provided. A comparative analysis of the database sources support, pre-processing capabilities, analysis and visualization options were also provided in order to facilitate its understanding. Although there are numerous bibliometric databases to obtain data for bibliometric and scientometric analysis, they have been developed for a different purpose. The number of exportable records is between 500 and 50,000 and the coverage of the different science fields is unequal in each database. Concerning the analyzed tools, Bibliometrix contains the more extensive set of techniques and suitable for practitioners through Biblioshiny. VOSviewer has a fantastic visualization and is capable of loading and exporting information from many sources. SciMAT is the tool with a powerful pre-processing and export capability. In views of the variability of features, the users need to decide the desired analysis output and chose the option that better fits into their aims.es_ES
dc.description.sponsorshipThis article has been possible thanks to Feder funds (TIN2016-75850-R)es_ES
dc.language.isoenges_ES
dc.publisherEPI SCPes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectBibliometrics es_ES
dc.subjectScientometricses_ES
dc.subjectScience Mapping Analysises_ES
dc.subjectToolses_ES
dc.subjectBibliographic databaseses_ES
dc.subjectPerformance analysises_ES
dc.subjectSoftwarees_ES
dc.subjectLibraries es_ES
dc.subjectR-packagees_ES
dc.subjectPython-packagees_ES
dc.subjectSoftware reviewes_ES
dc.titleSoftware tools for conducting bibliometric analysis in science: An upto-date reviewes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doihttps://doi.org/10.3145/epi.2020.ene.03


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