Giles C Lee, Councill Isaac G
School of Information Sciences and Technology, Pennsylvania State University, 311 IST Building, University Park, PA 16802, USA.
Proc Natl Acad Sci U S A. 2004 Dec 21;101(51):17599-604. doi: 10.1073/pnas.0407743101. Epub 2004 Dec 15.
Acknowledgements in research publications, like citations, indicate influential contributions to scientific work. However, acknowledgements are different from citations; whereas citations are formal expressions of debt, acknowledgements 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 acknowledgements 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.
研究出版物中的致谢与引用类似，表明对科学工作有重要贡献。然而，致谢与引用不同；引用是对受惠的正式表述，而论及致谢，可以说是更具个人色彩、独特或私密的感谢与贡献表达。此外，许多研究资金来源方期望研究人员对促成已发表作品的任何支持予以致谢。正如引用索引被证明是评估研究贡献的重要工具一样，我们认为致谢在学术审核过程中可被视为与引用并行的一种衡量标准。我们已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，能够衡量出不同个人以及政府、企业和大学科研工作资助方的效力所产生的可量化影响。
