Back to Search Start Over

[An analysis of Spanish scientific productivity in substance abuse according to disciplinary collaboration]

Authors :
Gregorio, Gonzalez Alcaide
Maxima, Bolaños Pizarro
Carolina, Navarro Molina
Jose Ignacio, de Granda Orive
Rafael, Aleixandre Benavent
Juan Carlos, Valderrama Zurian
Source :
Adicciones. 20(4)
Publication Year :
2008

Abstract

The analysis of productivity and disciplinary collaboration patterns for Spanish published scientific research in the field of Substance Abuse (2001-2005).From institutional affiliations we identified and quantified disciplinary participation in papers indexed in the IME/Indice Medico Español, ISOC/Indice Español de Ciencias Sociales y Humanidades, SCI-Expanded/Science Citation Index-Expanded and SSCI/Social Sciences Citation Index databases.A total of 31 disciplines and specialities were identified in ISOC, with 8.6% of documents in collaboration between them; 55 medical specialities were identified in IME, with 10.89% of documents in collaboration between them; and 62 specialities were identified in SCI-Expanded, with 41.68% of documents in collaboration between them.a) Substance Abuse, Psychology, Psychiatry, Epidemiology-Preventive Medicine and Public Health and Pharmacology are the disciplines and specialities that present the highest productivity. To these can be added, in papers published in foreign journals, specialities such as Biochemistry-Molecular Biology, Neurology and Neuroscience; b) Papers published in Spanish journals indexed in SCI-Expanded and in papers published in foreign journals present much higher collaboration indexes between disciplines and specialities; c) The main collaborations between specialities are those between Substance Abuse, Psychiatry and Psychology. To these can be added, in the case of journals indexed in SCI-Expanded, those between these specialities and Pharmacology, Neurology and Neuroscience.

Details

ISSN :
02144840
Volume :
20
Issue :
4
Database :
OpenAIRE
Journal :
Adicciones
Accession number :
edsair.pmid..........ff911f0ecfb111939a8ea1764e4b1636