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

Valderrama Baca, María Pilar; Escabias Machuca, Manuel; Jiménez Contreras, Evaristo; Valderrama Bonnet, Mariano José; Baca García, María Pilar

doi:https://doi.org/10.1007/s11192-018-2801-z

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Identificadores

URI: http://hdl.handle.net/10481/73068

DOI: https://doi.org/10.1007/s11192-018-2801-z

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Editorial

Springer

Materia

Journal impact factor

Multiple regression

Longitudinal parameters

ICMJE

Fecha

2018-06-08

Referencia bibliográfica

Valderrama, 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-z

Resumen

t 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.

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FQM307 - Artículos

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