Las monografías en la edición científica y los perfiles de autoría y productividad en las universidades andaluzas.

The publication of papers is one of the most important activities in the field of scientific publishing and priority in the academic publishing industry. Yet few studies have been devoted to its analysis and publication patterns of authors to publish profiles extracted from the combination of variables. In this study, analyzed publication patterns of authors from universities in Andalusia, from the standpoint of productivity, literary age, membership in the university and publishing materials. The analysis is developed through multivariate analysis in order to detect distinctive profiles of academic authors through the Multiple Correspondence analysis allows to establish patterns of association between categories of different variables. Significant differences were found by scientific areas by universities, literary age and membership of the university. Cluster analysis also shows significant differences between the patterns of publication of the oldest universities about the latest in all parameters studied. Equally important changes are detected between the study conducted in 2006 and today.

Published in: ACIMED Vol. 22; no. 4; pp. 317 - 335
Main Authors: Cordón García, José Antonio, Fernández Gómez, María José, Pinto Molina, María, Alonso Arévalo, Julio, Alonso Berrocal, José Luís
Format: Article
Published: Centro Nacional de Informacion de Ciencias Medicas Sep2011
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Summary: The publication of papers is one of the most important activities in the field of scientific publishing and priority in the academic publishing industry. Yet few studies have been devoted to its analysis and publication patterns of authors to publish profiles extracted from the combination of variables. In this study, analyzed publication patterns of authors from universities in Andalusia, from the standpoint of productivity, literary age, membership in the university and publishing materials. The analysis is developed through multivariate analysis in order to detect distinctive profiles of academic authors through the Multiple Correspondence analysis allows to establish patterns of association between categories of different variables. Significant differences were found by scientific areas by universities, literary age and membership of the university. Cluster analysis also shows significant differences between the patterns of publication of the oldest universities about the latest in all parameters studied. Equally important changes are detected between the study conducted in 2006 and today.