Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/63063
Campo DC Valoridioma
dc.contributor.authorDorta González, Pabloen_US
dc.contributor.authorSantana Jiménez, Yolandaen_US
dc.date.accessioned2020-01-21T10:51:57Z-
dc.date.available2020-01-21T10:51:57Z-
dc.date.issued2019en_US
dc.identifier.issn1394-6234en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/63063-
dc.description.abstractWe study the bibliometric or formal aspects influencing citations. In particular, we verify the existence or otherwise of bibliometric aspects which displayed significant differences between the group of top 1% most cited articles according to their field and year of publication (highly cited articles) and the remaining articles. This may allow scientific journals to have evidence when writing their submission rules for authors in order to maximize the impact of published articles. We did a large-scale analysis of around 10,000 scientific articles, from the period 2007-2016. A transversal analysis was conducted disaggregating the articles into more than one hundred scientific areas and two groups, each with a random sample of around five thousand documents. The first group comprised a random sample of the top 1% most cited articles in each field and year of publication (highly cited articles), and the second group a random sample of the remaining articles in the Journal Citation Reports (science and social science citation indexes in the Web of Science database). Highly cited articles differ from non-highly cited articles in most of the bibliometric aspects considered. There are significant differences, below the 0.01 level, between the groups of articles in many variables and areas. The highly cited articles are published in journals of higher impact factor (33 percentile points above) and have 25% higher co-authorship. The highly cited articles are also longer in terms of number of pages (10% higher) and bibliographical references (35% more). Finally, highly cited articles have slightly shorter titles (3% lower) but, contrastingly, longer abstracts (10% higher).en_US
dc.languageengen_US
dc.relation.ispartofMalaysian Journal of Library and Information Scienceen_US
dc.sourceMalaysian Journal Of Library & Information Science[ISSN 1394-6234],v. 24 (2), p. 23-39en_US
dc.subject570106 Documentaciónen_US
dc.subject.otherSubject Categoriesen_US
dc.subject.otherCitation Countsen_US
dc.subject.otherImpacten_US
dc.subject.otherÍndice de impactoen_US
dc.subject.otherBibliometríaen_US
dc.titleCharacterizing the highly cited articles: a large-scale bibliometric analysis of the top 1% most cited researchen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.22452/mjlis.vol24no2.2
dc.identifier.scopus85074512911
dc.identifier.isi000487272700002-
dc.contributor.authorscopusid6506711531
dc.contributor.authorscopusid35800283500
dc.description.lastpage39-
dc.identifier.issue2-
dc.description.firstpage23-
dc.relation.volume24-
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Artículoen_US
dc.contributor.daisngid31511063
dc.contributor.daisngid7557827
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Dorta-Gonzalez, P
dc.contributor.wosstandardWOS:Santana-Jimenez, Y
dc.date.coverdate2019
dc.identifier.ulpgces
dc.description.sjr0,414
dc.description.jcr1550,0
dc.description.sjrqQ2
dc.description.jcrqQ3
dc.description.ssciSSCI
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.deptGIR Finanzas Cuantitativas y Computacionales-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0003-0494-2903-
crisitem.author.orcid0000-0002-4505-2678-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNameDorta González, Pablo-
crisitem.author.fullNameSantana Jiménez, Yolanda-
Colección:Artículos
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