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

Measuring the quality of scientific references in Wikipedia: an analysis of more than 115M citations to over 800 000 scientific articles.
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DOI:
10.1111/febs.15608
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发表时间:
2021-07
期刊:
The FEBS journal
影响因子:
--
通讯作者:
Rife SC
Rife SC
中科院分区:
其他
文献类型:
--
作者:
Nicholson JM;Uppala A;Sieber M;Grabitz P;Mordaunt M;Rife SC

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维基百科是一个广泛使用的在线参考工具,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,这种测量对本参考书科学部分的可靠性和质量有影响。使用一种新的技术,一个定性描述引文的庞大数据库和机器学习算法,我们分析了1,923,575篇维基百科文章,其中引用了我们数据库中的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未被引用或未被后续研究测试,其余的在矛盾或支持证据方面表现出很大的差异。此外,我们分析了Web of Science索引的期刊中的51,804,643篇科学文章,发现同样大多数未被引用或未被后续研究验证,而其余的则显示出矛盾或支持证据的广泛差异。
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.
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发表时间: 2015-10-01
影响因子: 6.6
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