Who gets acknowledged: Measuring scientific contributions through automatic acknowledgment indexing
Who gets acknowledged: Measuring scientific contributions through automatic acknowledgment indexing
复制标题
DOI：
10.1073/pnas.0407743101
复制
发表时间：
2004-12-21
影响因子：
11.1
通讯作者：
Councill, IG
中科院分区：
文献类型：
--
作者：
Giles, CL;Councill, IG
研究出版物中的致谢，如同引用一样，表明对科研工作有影响力的贡献。然而，致谢与引用不同；引用是对学术借鉴的正式表达，而论据充分的是，致谢更偏向于个人的、独特的或私下的赞赏及贡献表达。此外，许多研究资助来源期望研究人员对有助于已发表成果的任何支持表示感谢。正如引用索引被证明是评估研究贡献的重要工具一样，我们认为在学术审核过程中，致谢可被视为一种与引用类似的衡量标准。我们已经开发出用于提取和分析致谢的自动化方法，并表明将致谢分析与引用索引相结合，可以衡量出不同个人以及政府、企业和大学这些科研工作资助者的成效所产生的可测量影响。
Acknowledgments in research publications, like citations, indicate influential contributions to scientific work. However, acknowledgments are different from citations; whereas citations are formal expressions of debt, acknowledgments are arguably more personal, singular, or private expressions of appreciation and contribution. Furthermore, many sources of research funding expect researchers to acknowledge any support that contributed to the published work. Just as citation indexing proved to be an important tool for evaluating research contributions, we argue that acknowledgments can be considered as a metric parallel to citations in the academic audit process. We have developed automated methods for acknowledgment extraction and analysis and show that combining acknowledgment analysis with citation indexing yields a measurable impact of the efficacy of various individuals as well as government, corporate, and university sponsors of scientific work.