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通过维基百科看科学:通过共引网络呈现的开放知识新形式

Science through Wikipedia: A novel representation of open knowledge through co-citation networks.

机构信息

Medialab UGR, University of Granada, Granada, Spain.

Department of Information and Communication, University of Granada, Faculty of Communication and Documentation, Granada, Spain.

出版信息

PLoS One. 2020 Feb 10;15(2):e0228713. doi: 10.1371/journal.pone.0228713. eCollection 2020.

Abstract

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.

摘要

本研究从维基百科的角度概述了科学。通过分析维基百科编辑如何通过引用科学论文来对待科学,已经建立了一种方法。共被引方法已适应于此背景,以生成突出最相关科学期刊和类别的探路者网络(PFNET),并了解如何通过这个开放的百科全书来使用科学文献。除此之外,还通过价格指数研究了它们的过时情况。最初考虑了 Altmetric.com 上提供的总共 1433457 条参考文献。经过预处理并将其链接到爱思唯尔的 CiteScore Metrics 数据后,样本减少到 847512 条参考文献,这些参考文献由 193802 篇维基百科文章引用,指向 Scopus 索引的 14149 种期刊中的 598746 篇科学文章。作为突出的结果,我们发现“医学”和“生物化学、遗传学和分子生物学”论文的存在具有重要意义,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,维基百科引文只有 13.44% 是开放获取期刊。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c11b/7010282/4c7225d2a98f/pone.0228713.g001.jpg

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