Proposal of a stochastic model to determine the bibliometric variables influencing the quality of a journal: application to the field of Dentistry
Identificadores
URI: http://hdl.handle.net/10481/73432Metadatos
Mostrar el registro completo del ítemAutor
Valderrama Baca, María Pilar; Escabias Machuca, Manuel; Jiménez Contreras, Evaristo; Rodríguez Archilla, Alberto; Valderrama Bonnet, Mariano JoséEditorial
Springer
Materia
Dentistry H-index Ordinal regression Journal Citation Reports Correct classification rate
Fecha
2018-03-09Referencia bibliográfica
Valderrama Baca, Pilar & Escabias, Manuel & Jiménez-Contreras, Evaristo & Rodriguez-Archilla, Alberto & Valderrama, Mariano. (2018). Proposal of a stochastic model to determine the bibliometric variables influencing the quality of a journal: application to the field of Dentistry. Scientometrics. 115. https://doi.org/10.1007/s11192-018-2707-9
Patrocinador
Proyect MTM2017-88708-P of f Secretaría de Estado de Investigación, Desarrollo e Innovación, Ministerio de Economía y Competitividad de EspañaResumen
On the basis of the Impact Factor of Journal Citation Reports developed by ISI
as a journal quality indicator, this paper puts forth an ordinal regression model to estimate
the journal’s position by terciles. The set of explanatory variables includes the H-index of
its Editor-in-chief, percentage of papers published in the journal that received external
funding, average number of papers published yearly, and two factors concerning the scope
and structure of the journal. The proposed model was applied to the field of Dentistry, Oral
Surgery and Medicine, and led us to the conclusion that the above mentioned covariables
alone had a significant input in the model, but not the factors. The essay performed on a
sample of 30 Dentistry journals included in JCR provided a confirmatory correct classification rate (CCR) of 80%, with a predictive CCR of 75% on a sample of eight new
journals not previously considered in the phase of model estimation.