出版社:Consejo Superior de Investigaciones Científicas
摘要:The information requirements of the scientific community of the areas of science and technology in the University of Extremadura were analysed quantitatively and qualitatively through journal citations. For this purpose, a retrospective search was made in the Science Citation Index database, considering multiple variables such as use by department, impact factor, journal citations, availability, localization, accessibility, and coverage. A set of (simple and complex) indicators was applied to these variables, using multiple association models (in particular, Kohonen's algorithm) to determine the degree of ínterdepartmental overlap in the real use of information.
关键词:scientific journals;citations;impact factor;neural networks;bibliometrics;university libraries;University of Extremadura;revistas científicas;citas;factor de impacto;redes neuronales;bibliometría;bibliotecas universitarias;Universidad de Extremadura