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What Can Altmetric.com Tell Us About Policy Citations of Research? An Analysis of Altmetric.com Data for Research Articles from the University of Sheffield

机译:Altmetric.com可以告诉我们有关研究政策的哪些内容?谢菲尔德大学研究论文的Altmetric.com数据分析

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Background: There is a growing interest in using and analysing Altmetrics data for quantifying the impact of research, especially societal impact (Haunschild & Bornmann 2017, Thelwall et al 2016, Bornmann 2014). This study therefore aimed to explore the value of Altmetrics for assessing policy impact by analysing research articles from a single centre (the University of Sheffield) that were identified by Altmetrics as being cited in at least one policy document. Method: This study has only included published research articles from authors at the University of Sheffield and indexed in the Altmetric.com database. Altmetric data on policy impact were sourced from Altmetric.com following a data request and included citations up until February 2017. Supplementary Altmetric data including news media, blogs, Mendeley saves and Wikipedia citations were also gathered. Results: Altmetrics did enable an assessment of whether a relevant research article had had an impact on policy documents and, if so, how many such documents. In total, 1463 pieces of published research from authors at the University of Sheffield were found to be cited in between 1 and 13 policy documents. Twenty-one research articles were listed as being cited in five or more policy documents; 21 in four policy documents; 50 in three documents; 186 in two documents; and 1185 in one document. Of those 1463 outputs, 1449 were journal articles, 13 were books and one was a book chapter, and the time lag from publication to citation in policy documents ranged from 3 months to 31 years. Analysis of the 92 research articles cited in three or more policy documents indicated that the research topics with the greatest policy impact were medicine, dentistry and health, followed by social science and pure science. The Altmetrics data enabled an in-depth assessment of the 21 research articles cited in five or more policy documents. Conclusion. Within the limitations of the current text-mining system, Altmetrics can offer important and highly-accessible data on the policy impact of an organization’s published research articles.
机译:背景:使用和分析Altmetrics数据来量化研究的影响,尤其是社会影响的兴趣日益浓厚(Haunschild&Bornmann 2017,Thelwall et al 2016,Bornmann 2014)。因此,本研究旨在通过分析来自单个中心(谢菲尔德大学)的研究文章来探讨Altmetrics在评估政策影响方面的价值,这些研究文章被Altmetrics识别为至少在一份政策文件中被引用。方法:本研究仅包括谢菲尔德大学作者发表的研究论文,并在Altmetric.com数据库中建立了索引。有关政策影响的Altmetric数据是在数据请求后从Altmetric.com收集的,并包括了直到2017年2月的引文。还收集了补充Altmetric数据,包括新闻媒体,博客,Mendeley保存和Wikipedia引文。结果:Altmetrics确实可以评估相关研究文章是否对政策文件产生了影响,如果有的话,有多少这样的文件产生了影响。在1到13份政策文件中,总共引用了谢菲尔德大学作者发表的1463篇研究论文。列出21篇研究文章被5篇或以上政策文件引用;四份政策文件中的21份;三份文件中有50份; 186件,分为两份;和1185在一份文件中。在这1463项产出中,有1449项是期刊文章,有13项是书籍,其中一章是一本书的章节,从出版到引用政策文件的时间介于3个月到31年之间。对三个或更多政策文件中引用的92篇研究论文的分析表明,对政策影响最大的研究主题是医学,牙科和健康,其次是社会科学和纯粹科学。借助Altmetrics数据,可以对五个或更多政策文件中引用的21篇研究文章进行深入评估。结论。在当前文本挖掘系统的限制范围内,Altmetrics可以提供有关组织已发表的研究文章的政策影响的重要且易于访问的数据。

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