Proposal of indicators for the structural analysis of scientific articles

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dc.citation.issue2
dc.citation.volume11
dc.contributor.authorDe Sordi, Jose Osvaldo
dc.contributor.authorde Paulo, Wanderlei Lima
dc.contributor.authorMeireles, Manuel Antonio
dc.contributor.authorde Azevedo, Marcia Carvalho [UNIFESP]
dc.contributor.authorContreras Pinochet, Luis Hernan [UNIFESP]
dc.coverageAmsterdam
dc.date.accessioned2020-07-13T11:53:20Z
dc.date.available2020-07-13T11:53:20Z
dc.date.issued2017
dc.description.abstractThis study aims to identify variables and indicators that substantiate the development of rules that focus on the structural analysis of scientific articles. Variables and indicators for structural analysis are derived from hypotheses deduced from editorials in important scientific journals. To exemplify and test the indicators, a structural analysis was conducted of 108 scientific articles published in important journals in the field of Management. The hypotheses were mostly tested in accordance with the idea of estimation statistics. The approach that was developed for the structural analysis of the network of texts innovates by employing network analysis indicators (indegree and outdegree). For this purpose, the text matrix is employed through the identification and encoding of cross-references between sections and subsections of each article under study. For the context in question, the field of Management, twelve rules were developed. The interpretations of the possible values for the indicators, expressed in the form of rules, are applied as directives to less experienced scholars in preparing their scientific articles, and for the generation of information to support activities concerning the classification and analysis of scientific articles. (C) 2017 Elsevier Ltd. All rights reserved.en
dc.description.affiliationFMU, Rua Iwakuni 236, BR-13211424 Jundiai, SP, Brazil
dc.description.affiliationFac Campo Limpo Paulista FACCAMP, Rua Guatemala 167, BR-13231230 Campo Limpo Paulista, SP, Brazil
dc.description.affiliationUniv Fed Sao Paulo UNIFESP, Rua Angelica 100, BR-06110295 Osasco, SP, Brazil
dc.description.affiliationUnifespUniv Fed Sao Paulo UNIFESP, Rua Angelica 100, BR-06110295 Osasco, SP, Brazil
dc.description.sourceWeb of Science
dc.format.extent483-497
dc.identifierhttp://dx.doi.org/10.1016/j.joi.2017.02.012
dc.identifier.citationJournal Of Informetrics. Amsterdam, v. 11, n. 2, p. 483-497, 2017.
dc.identifier.doi10.1016/j.joi.2017.02.012
dc.identifier.issn1751-1577
dc.identifier.urihttps://repositorio.unifesp.br/handle/11600/54550
dc.identifier.wosWOS:000403857200010
dc.language.isoeng
dc.publisherElsevier Science Bv
dc.relation.ispartofJournal Of Informetrics
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectCross-referenceen
dc.subjectArticle structureen
dc.subjectText matrixen
dc.subjectStructural analysisen
dc.subjectArticle classificationen
dc.titleProposal of indicators for the structural analysis of scientific articlesen
dc.typeinfo:eu-repo/semantics/article
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