Abstract

Journals’ impact indicators are not comparable among scientific fields because of systematic differences in publication and citation habits. In this work, the impact factor was decomposed into five independent variables, as applied to journal category, fields, and areas considered in the databases of the leading provider of science indicators, Thomson Reuters . A Principal Component Analysis was employed to find the sources of the variance and a Cluster Analysis was used to detect similarities. In spite of systematic differences between disciplines, the principal components explain 78% of the total variance. From the statistical point of view, some categories of Science are closer to the Social Sciences than to Science and vice versa.

Highlights

  • Hábitos de publicación y citación según campos científicos: Principales diferencias a partir de las revistas Journal Citation Reports (JCR)

  • Habits of publication and citation by scientific field: Main differences based on JCR journals Abstract: Journals’ impact indicators are not comparable among scientific fields because of systematic differences in publication and citation habits

  • The impact factor was decomposed into five independent variables, as applied to journal category, fields, and areas considered in the databases of the leading provider of science indicators, Thomson Reuters

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Summary

INTRODUCCIÓN

El Factor de Impacto (FI) publicado en el Journal Citation Reports (JCR) por Thomson Reuters se define como el número de las referencias promedio que recibe una revista en el año actual a los ‘ítems citables’ publicados en esa revista durante los dos años previos. Se presenta una descomposición del factor de impacto en estas cinco fuentes principales de varianza y se calculan para todas las categorías JCR, campos y áreas científicas considerados en las bases de datos de Thomson Reuters. La segunda de las conclusiones tiene que ver con la necesidad de desarrollar nuevos indicadores normalizados que controlen las fuentes principales de varianza y sean capaces de producir medias similares entre grupos de revistas de campos diferentes.

DESCOMPOSICIÓN DEL FACTOR DE IMPACTO AGREGADO
APLICACIÓN EMPÍRICA
Resultados y discusión
C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13 C14 C15 C16 C17 C18 C19 C20 C21 C22
Findings
CONCLUSIONES

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