...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>The FEBS journal >Measuring the quality of scientific references in Wikipedia: an analysis of more than 115M citations to over 800 000 scientific articles
【24h】

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

机译：衡量维基百科的科学参考资料：对超过800 000个科学文章的引用分析超过115米

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

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.
机译：维基百科是一本广泛使用的在线参考书，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，这种测量对参考文献的科学部分的可靠性和质量有影响。使用一种新技术、一个大规模的定性描述引用数据库和机器学习算法，我们分析了1923575篇维基百科文章，这些文章在我们的数据库中引用了824298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经后续研究验证或未经测试，其余的证据在反驳或支持证据方面表现出很大的差异。此外，我们分析了《科学网》索引期刊上的51804643篇科学文章，发现大多数文章同样未经后续研究验证或未经测试，而其余的则在反驳或支持证据方面存在很大差异。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号