A mixed longitudinal and cross-sectional model to forecast the journal impact factor in the field of Dentistry
Pilar Valderrama (),
Manuel Escabias (),
Evaristo Jiménez-Contreras (),
Mariano J. Valderrama () and
Pilar Baca ()
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Pilar Valderrama: University of Granada
Manuel Escabias: University of Granada
Evaristo Jiménez-Contreras: University of Granada
Mariano J. Valderrama: University of Granada
Pilar Baca: University of Granada
Scientometrics, 2018, vol. 116, issue 2, 1203-1212
Abstract 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.
Keywords: Journal impact factor; Multiple regression; Longitudinal parameters; ICMJE (search for similar items in EconPapers)
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