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Mapping Academic Institutions According to Their Journal Publication Profile: Spanish Universities as a Case Study

机译:从学术期刊出版看学术机构   简介:西班牙大学作为案例研究

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摘要

We introduce a novel methodology for mapping academic institutions based ontheir journal publication profiles. We believe that journals in whichresearchers from academic institutions publish their works can be considered asuseful identifiers for representing the relationships between theseinstitutions and establishing comparisons. However, when academic journals areused for research output representation, distinctions must be introducedbetween them, based on their value as institution descriptors. This leads us tothe use of journal weights attached to the institution identifiers. Since ajournal in which researchers from a large proportion of institutions publishedtheir papers may be a bad indicator of similarity between two academicinstitutions, it seems reasonable to weight it in accordance with howfrequently researchers from different institutions published their papers inthis journal. Cluster analysis can then be applied to group the academicinstitutions, and dendrograms can be provided to illustrate groups ofinstitutions following agglomerative hierarchical clustering. In order to testthis methodology, we use a sample of Spanish universities as a case study. Wefirst map the study sample according to an institution's overall researchoutput, then we use it for two scientific fields (Information and CommunicationTechnologies, as well as Medicine and Pharmacology) as a means to demonstratehow our methodology can be applied, not only for analyzing institutions as awhole, but also in different disciplinary contexts.
机译:我们介绍了一种新颖的方法,可根据其期刊出版情况来绘制学术机构的地图。我们认为,学术机构的研究人员在其中发表其著作的期刊可以被视为代表这些机构之间的关系并建立比较的有用标识符。但是,当将学术期刊用于研究成果的表示时,必须根据它们作为机构描述符的价值在它们之间进行区分。这导致我们使用附在机构标识符上的日记帐权重。由于期刊中大量机构的研究人员发表论文可能是两个学术机构之间相似性的不良指标,因此根据不同机构的研究人员在本刊上发表论文的频率来加权它似乎是合理的。然后可以使用聚类分析对学术机构进行分组,并可以提供树状图来说明聚集的层次聚类之后的机构组。为了测试这种方法,我们使用西班牙大学的样本作为案例研究。我们首先根据研究机构的总体研究成果绘制研究样本图,然后将其用于两个科学领域(信息和通信技术以及医学和药理学),以此来证明如何应用我们的方法,不仅用于整个机构的分析,但也有不同的学科背景。

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