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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能告诉我们关于研究政策引用的内容吗?谢菲尔德大学研究论文的altmetric.com数据分析

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摘要

Background: There is a growing interest in using and analyzing altmetric data forudquantifying the impact of research, especially societal impact (Bornmann, 2014, Thelwalludet al., 2016, Haunschild and Bornmann, 2017). This study therefore aimed to explore theudusefulness of Altmetric.com data as a means of identifying and categorizing the policyudimpact of research articles from a single center (the University of Sheffield).udMethod: This study has only included published research articles from authors at theudUniversity of Sheffield and indexed in the Altmetric.com database. Altmetric data onudpolicy impact was sourced from Altmetric.com following a data request and includedudcitations up until February 2017. Supplementary Altmetric.com data, including newsudmedia, blogs, Mendeley saves, and Wikipedia citations, were also gathered.udResults: Altmetric.com data did enable the identification of policy documents that citedudrelevant articles. In total, 1,463 pieces of published research from authors at the Universityudof Sheffield were found to be cited by between 1 and 13 policy documents. 21 researchudarticles (1%) were listed as being cited in five or more policy documents; 21 (1%) in fourudpolicy documents; 50 (3%) in three documents; 186 (13%) in two documents; and 1,185ud(81%) in one document. Of those 1,463 outputs, 1,449 (99%) were journal articles, 13udwere books, and 1 was a book chapter (less than 1%). The time lag from the publicationudof the research to its citation in policy documents ranged from 3 months to 31 years.udAnalysis of the 92 research articles cited in three or more policy documents indicatedudthat the research topics with the greatest policy impact were medicine, dentistry, andudhealth, followed by social science and pure science. The Altmetric.com data enabled anudin-depth assessment of the 21 research articles cited in five or more policy documents.udHowever, errors of attribution and designation were found in the Altmetric.com data.udThese findings might be generalizable to other institutions similar in organizational structureudto The University of Sheffield.udConclusion: Within the limitations of the current text-mining system, Altmetric.com canudoffer important and highly accessible data on the policy impact of an organization’sudpublished research articles, but caution must be exercised when seeking to use thisuddata, especially in terms of providing evidence of policy impact.
机译:背景:使用和分析高度测量数据以量化研究的影响,尤其是社会影响的兴趣日益浓厚(Bornmann,2014,Thelwall udet。,2016,Haunschild and Bornmann,2017)。因此,本研究旨在探讨Altmetric.com数据的 udusfulity,以用于识别和分类来自单个中心(谢菲尔德大学)的研究文章的政策 udimping的方法。 udMethod:该研究仅包括已发表的研究文章来自谢菲尔德大学 udUniversity的作者,并在Altmetric.com数据库中建立了索引。截止到2017年2月,Altmetric关于 udpolicy影响的数据是从Altmetric.com那里获得的,并包括 udcitations直到2017年2月。还收集了补充的Altmetric.com数据,包括新闻 udmedia,博客,Mendeley保存和Wikipedia引用。 udResults:Altmetric.com数据确实可以识别引用 udre相关文章的策略文档。总共有1到13份政策文件引用了谢菲尔德大学的作者发表的1,463篇发表的研究成果。在五个或更多政策文件中列出了21条研究文章(占1%);四个 policypolicy文件中有21个(1%);三份文件中有50份(3%);两个文件中有186个(13%);和一份文档中的1,185 ud(81%)。在这1,463项产出中,有1,449项(占99%)是期刊文章,有13本是图书,有1篇是书章(不到1%)。从发表研究论文到其政策文件被引用的时间从3个月到31年不等。 ud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, udd具有最大政策影响的研究主题是医学,牙科和 udhealth,其次是社会科学和纯粹科学。 Altmetric.com数据可以对五个或更多政策文件中引用的21篇研究文章进行深度评估。 ud但是,Altmetric.com数据中发现了归因和指定错误。 ud这些发现可能可以推广到其他组织结构类似的机构 udto谢菲尔德大学。 ud结论:在当前的文本挖掘系统的局限内,Altmetric.com可以提供有关组织的 ud发表的研究文章的政策影响的重要且易于访问的数据,但是尝试使用此 uddata时必须谨慎,尤其是在提供政策影响的证据方面。

著录项

  • 作者

    Tattersall A.; Carroll C.;

  • 作者单位
  • 年度 2018
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类
  • 入库时间 2022-08-31 16:18:35

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