Impacto bibliográfico ajustadorevistas de enfermería del espacio científico iberoamericano (años 2000-2004)

  1. Alberto Gálvez Toro 1
  2. Mª Luisa Ayudarte Larios 2
  3. César Hueso Montoro 3
  4. Ana Mª Lorente Gallego 4
  5. Sergio Romeo López Alonso 5
  6. Manuel Amezcua 6
  1. 1 Coordinador de Investigación. Fundación Index. Grupo de Estudios Documentales (Granada, España)
  2. 2 Becaria de Investigación: IV Programa de Jóvenes Investigadores, Fundación Index (Granada, España).
  3. 3 Coordinador de Docencia. Fundación Index (Granada, España) Grupo de Estudios Documentales.
  4. 4 Profesora de Universidad. Lic en Documentación. Universidad Católica de Murcia (Murcia, España)
  5. 5 Ldo. Enfermería. Doctorando en Salud Pública. Dirección Regional de Desarrollo e Innovación en Cuidados. Dirección General de Asistencia Sanitaria. Servicio Andaluz de Salud, Sevilla, España.
  6. 6 Presidente de la Fundación Index (Granada, España).
Journal:
Evidentia: Revista de enfermería basada en la evidencia

ISSN: 1697-638X

Year of publication: 2006

Volume: 3

Issue: 11

Type: Article

More publications in: Evidentia: Revista de enfermería basada en la evidencia

Abstract

Aims: To develop an adjusted calculation method for comparing impact indicators of different chronological serial data, proceeding from not homogeneous samples of journal sources; and to develop a mathematical model which makes possible to predict the impact evolution for a journal considering self-evolution in the past. Methods: Bibliometric study based on the analysis of serial data from 2000 to 2004. The number of journals analyzed were 41. Findigns: An adjustment constant (AC) has been calculated for every serial information. The impact indicators were calculated for every source journal. The AC weight is greater for the 2004 impact indicators. This finding means that, proportionally in this year, there were more bibliographic citations in the study nursing area, both for immediate and historical impact indicators. The impact prediction of a journal, adjusted by the scientific production explains betweein the 64% and 85% of the observed variability (p<0,000). Conclusions: The AC and the adjusted indicators calculated show the evolution of every journal in the future, and the comparability between different journal sources. The main factor which explains the journal impact is the accumulated production included in the CUIDEN database. The evolution prediction of a journal shows the best adjustment when the data are adjusted by the scientific production included in CUIDEN database. The explanatory power is greater for the historical impact indicator. The immediate impact indicator shows higher variability.