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dc.contributor.authorMartín Martín, Alberto 
dc.contributor.authorDelgado López-Cózar, Emilio 
dc.date.accessioned2018-05-28T08:49:36Z
dc.date.available2018-05-28T08:49:36Z
dc.date.issued2018-05-23
dc.identifier.urihttp://hdl.handle.net/10481/51153
dc.description.abstractGoogle Scholar contains a vast wealth of citation data, but this data is not easily accessible. This slides present some of the main strengths and weaknesses of Google Scholar citation data, as compared to the citation databases that are most frequently used for bibliometric analyses (Web of Science and Scopus). It also describes our own workflow to extract and work with Google Scholar data.es_ES
dc.description.sponsorshipAlberto Martín-Martín enjoys a four-year doctoral fellowship (FPU2013/05863) granted by the Ministerio de Educación, Cultura, y Deportes (Spain).es_ES
dc.language.isoenges_ES
dc.rightsAtribución-NoComercial-CompartirIgual 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectGoogle Scholares_ES
dc.subjectCitation graphes_ES
dc.subjectOpen Citationses_ES
dc.subjectHighly-cited documentses_ES
dc.subjectWeb of Sciencees_ES
dc.subjectScopuses_ES
dc.titleGoogle Scholar’s citation graph: comprehensive, global… and inaccessiblees_ES
dc.typeconference outputes_ES
dc.rights.accessRightsopen accesses_ES


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