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A mixed longitudinal and cross-sectional model to forecast the journal impact factor in the field of Dentistry

dc.contributor.authorValderrama Baca, María Pilar 
dc.contributor.authorEscabias Machuca, Manuel 
dc.contributor.authorJiménez Contreras, Evaristo 
dc.contributor.authorValderrama Bonnet, Mariano José 
dc.contributor.authorBaca García, María Pilar 
dc.date.accessioned2022-03-02T12:13:30Z
dc.date.available2022-03-02T12:13:30Z
dc.date.issued2018-06-08
dc.identifier.citationValderrama, P., Escabias, M., Jiménez-Contreras, E. et al. A mixed longitudinal and cross-sectional model to forecast the journal impact factor in the field of Dentistry. Scientometrics 116, 1203–1212 (2018). https://doi.org/10.1007/s11192-018-2801-zes_ES
dc.identifier.urihttp://hdl.handle.net/10481/73068
dc.description.abstractt In order to estimate the impact factor value for a journal in Dentistry, two sets of variables were considered in this study: the first takes in the longitudinal behavior of the process specified in the slope and intercept of the straight line fitted to the trend of the last years, whereas the second considers the percentage of review papers published each year and the adhesion degree of the journal to ICMJE guidelines. The final estimated model showed a high determination coefficient (99.3%) and its performance was tested on a new set of journals randomly sampled from the list of journal citation reports.es_ES
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.rightsAtribución-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/es/*
dc.subjectJournal impact factores_ES
dc.subjectMultiple regressiones_ES
dc.subjectLongitudinal parameterses_ES
dc.subjectICMJEes_ES
dc.titleA mixed longitudinal and cross-sectional model to forecast the journal impact factor in the field of Dentistryes_ES
dc.typejournal articlees_ES
dc.rights.accessRightsembargoed accesses_ES
dc.identifier.doihttps://doi.org/10.1007/s11192-018-2801-z
dc.type.hasVersionSMURes_ES


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