Factor de impacto agregado según campos científicos

• Autores: María Isabel Dorta González, Pablo González
• Localización: Investigación bibliotecológica, ISSN 0187-358X, ISSN-e 2448-8321, Vol. 28, Nº. 62, 2014, págs. 15-28
• Idioma: español
• DOI: 10.1016/s0187-358x(14)72563-8
• Títulos paralelos:
  • Aggregate impact factor according to scientific fields
• Enlaces
  • Texto completo
• Dialnet Métricas: 6 Citas
• Resumen
  • español

    Los indicadores de impacto de revistas no son comparables entre campos científicos debido a las diferencias significativas en los hábitos de publicación y citación. Una descomposición del factor de impacto agregado muestra, para los 22 campos y cuatro áreas consideradas en las bases de datos del principal proveedor de indicadores científicos (Thomson Reuters), que existen cinco variables que en mayor medida explican la varianza del factor de impacto de un campo. Por ello es necesario tener en cuenta estas fuentes de variación en el proceso de normalización de los indicadores de impacto. Para localizar las fuentes de la varianza se emplea un Análisis de componentes principales y para detectar las semejanzas se utiliza un Análisis clúster.

  • English

    Science journal impact indicators are not comparable because of inherent differences in publication and citation behaviors from field to field. A breakdown of the field aggregate impact factor of databases shows that for the 22 fields and four areas considered by Thomson Reuters, the leading provider of science indicators, five variables largely explain variance in impact factor of a given field. Therefore, it is necessary to consider all these sources of variance in the standardization process of the impact indicators. A Principal Component Analysis is employed to find the sources of the variance and a Cluster Analysis is used to detect similarities.

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