Measuring the quality of scientific references in Wikipedia: an analysis of more than 115M citations to over 800 000 scientific articles,The FEBS Journal

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Measuring the quality of scientific references in Wikipedia: an analysis of more than 115M citations to over 800 000 scientific articles
The FEBS Journal ( IF 5.5 ) Pub Date : 2020-10-22 , DOI: 10.1111/febs.15608
Joshua M Nicholson ₁ , Ashish Uppala ₁ , Matthias Sieber ₁ , Peter Grabitz _{1,

2} , Milo Mordaunt ₁ , Sean C Rife _{1,

3}

Affiliation

Wikipedia is a widely used online reference work which cites hundreds of thousands of scientific articles across its entries. The quality of these citations has not been previously measured, and such measurements have a bearing on the reliability and quality of the scientific portions of this reference work. Using a novel technique, a massive database of qualitatively described citations, and machine learning algorithms, we analyzed 1 923 575 Wikipedia articles which cited a total of 824 298 scientific articles in our database and found that most scientific articles cited by Wikipedia articles are uncited or untested by subsequent studies, and the remainder show a wide variability in contradicting or supporting evidence. Additionally, we analyzed 51 804 643 scientific articles from journals indexed in the Web of Science and found that similarly most were uncited or untested by subsequent studies, while the remainder show a wide variability in contradicting or supporting evidence.

中文翻译：

衡量 Wikipedia 中科学参考文献的质量：对超过 800 000 篇科学文章的超过 1.15 亿次引用的分析

维基百科是一种广泛使用的在线参考书，它在其条目中引用了数十万篇科学文章。这些引文的质量以前没有被测量过，这些测量结果会影响到本参考书的科学部分的可靠性和质量。我们使用新技术、定性描述引文的海量数据库和机器学习算法，分析了 1 923 575 篇维基百科文章，这些文章在我们的数据库中总共引用了 824 298 篇科学文章，发现维基百科文章引用的大多数科学文章都未被引用或未经随后的研究检验，其余的在相互矛盾或支持的证据方面表现出广泛的可变性。此外，

更新日期：2020-10-22

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