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Performance behaviour patterns in author-level metrics: a disciplinary comparison of Google Scholar Citations, ResearchGate and ImpactStory

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Performance behaviour patterns in author-level metrics: a disciplinary comparison of Google Scholar Citations, ResearchGate and ImpactStory

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dc.contributor.author Orduña Malea, Enrique es_ES
dc.contributor.author Delgado-López-Cózar, Emilio es_ES
dc.date.accessioned 2018-05-13T04:18:40Z
dc.date.available 2018-05-13T04:18:40Z
dc.date.issued 2017 es_ES
dc.identifier.uri http://hdl.handle.net/10251/101829
dc.description.abstract [EN] The main goal of this work is to verify the existence of diverse behavior patterns in academic production and impact, both among members of the same scientific community (inter-author variability) and for a single author (intra-author variability), as well as to find out whether this fact affects the correlation among author-level metrics (AutLMs) in disciplinary studies. To do this, two samples are examined: a general sample (members of a discipline, in this case Bibliometrics; n = 315 authors), and a specific sample (only one author; n = 119 publications). Four AutLMs (Total Citations, Recent Citations, Reads, and Online mentions) were extracted from three platforms (Google Scholar Citations, ResearchGate, and ImpactStory). The analysis of the general sample reveals the existence of different performance patterns, in the sense that there are groups of authors who perform prominently in some platforms, but exhibit a low impact in the others. The case study shows that the high performance in certain metrics and platforms is due to the coverage of document typologies, which is different in each platform (for example, Reads in working papers). It is concluded that the identification of the behavior pattern of each author (both at the inter-author and intra-author levels) is necessary to increase the precision and usefulness of disciplinary analyses that use AutLMs, and thus avoid masking effects. es_ES
dc.language Inglés es_ES
dc.publisher Frontiers Media es_ES
dc.relation.ispartof Frontiers in Research Metrics and Analytics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Altmetrics es_ES
dc.subject Author-level metrics es_ES
dc.subject Google scholar citations es_ES
dc.subject ResearchGate es_ES
dc.subject ImpactStory es_ES
dc.subject Twitter es_ES
dc.subject Citation analysis es_ES
dc.subject Online mentions es_ES
dc.subject.classification COMUNICACION AUDIOVISUAL Y PUBLICIDAD es_ES
dc.subject.classification BIBLIOTECONOMIA Y DOCUMENTACION es_ES
dc.title Performance behaviour patterns in author-level metrics: a disciplinary comparison of Google Scholar Citations, ResearchGate and ImpactStory es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3389/frma.2017.00014 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicación Audiovisual, Documentación e Historia del Arte - Departament de Comunicació Audiovisual, Documentació i Història de l'Art es_ES
dc.description.bibliographicCitation Orduña Malea, E.; Delgado-López-Cózar, E. (2017). Performance behaviour patterns in author-level metrics: a disciplinary comparison of Google Scholar Citations, ResearchGate and ImpactStory. Frontiers in Research Metrics and Analytics. 2:1-12. doi:10.3389/frma.2017.00014 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3389/frma.2017.00014 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 2 es_ES
dc.identifier.eissn 2504-0537 es_ES
dc.relation.pasarela S\352510 es_ES


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