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Science through Wikipedia: A novel representation of open knowledge through co-citation networks
arXiv - CS - Digital Libraries Pub Date : 2020-02-11 , DOI: arxiv-2002.04347
Wenceslao Arroyo-Machado, Daniel Torres-Salinas, Enrique Herrera-Viedma, Esteban Romero-Fr\'ias

This study provides an overview of science from the Wikipedia perspective. A methodology has been established for the analysis of how Wikipedia editors regard science through their references to scientific papers. The method of co-citation has been adapted to this context in order to generate Pathfinder networks (PFNET) that highlight the most relevant scientific journals and categories, and their interactions in order to find out how scientific literature is consumed through this open encyclopaedia. In addition to this, their obsolescence has been studied through Price index. A total of 1 433 457 references available at Altmetric.com have been initially taken into account. After pre-processing and linking them to the data from Elsevier's CiteScore Metrics the sample was reduced to 847 512 references made by 193 802 Wikipedia articles to 598 746 scientific articles belonging to 14 149 journals indexed in Scopus. As highlighted results we found a significative presence of "Medicine" and "Biochemistry, Genetics and Molecular Biology" papers and that the most important journals are multidisciplinary in nature, suggesting also that high-impact factor journals were more likely to be cited. Furthermore, only 13.44% of Wikipedia citations are to Open Access journals.

中文翻译:

维基百科中的科学:通过共引网络对开放知识的新颖表示

本研究从维基百科的角度对科学进行了概述。已经建立了一种方法来分析维基百科编辑如何通过引用科学论文来看待科学。共同引用的方法已经适应了这种情况,以生成突出最相关的科学期刊和类别及其相互作用的探路者网络 (PFNET),以便了解科学文献如何通过这个开放的百科全书被消费。除此之外,还通过价格指数研究了它们的过时情况。Altmetric.com 上共有 1 433 457 份参考文献已被初步考虑在内。在预处理并将它们链接到来自 Elsevier 的数据之后 s CiteScore Metrics 将样本减少到 847 512 条参考文献,这些参考文献来自 193 802 篇维基百科文章,而 598 746 篇科学文章属于 Scopus 索引的 14 149 种期刊。作为突出显示的结果,我们发现“医学”和“生物化学、遗传学和分子生物学”论文的重要存在,并且最重要的期刊本质上是多学科的,这也表明高影响因子期刊更有可能被引用。此外,只有 13.44% 的维基百科引用来自开放获取期刊。还表明高影响因子期刊更有可能被引用。此外,只有 13.44% 的维基百科引用来自开放获取期刊。还表明高影响因子期刊更有可能被引用。此外,只有 13.44% 的维基百科引用来自开放获取期刊。
更新日期:2020-02-12
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