An acknowledgement index (British English spelling) or acknowledgment index (American English spelling) is a scientometric index which analyzes acknowledgements in scientific literature and attempts to quantify their impact. Typically, a scholarly article has a section in which the authors acknowledge entities such as funding, technical staff, colleagues, etc. that have contributed materials or knowledge or have influenced or inspired their work. Like a citation index, an acknowledgement index measures influences on scientific work, but in a different sense; it measures institutional and economic influences as well as informal influences of individual people, ideas, and artifacts. Unlike the impact factor, it does not produce a single overall metric, but analyses the components separately. However, the total number of acknowledgements to an acknowledged entity can be measured and so can the number of citations to the papers in which the acknowledgement appears. The ratio of this total number of citations to the total number of papers in which the acknowledge entity appears can be construed as the impact of that acknowledged entity.
The first automated acknowledgement indexing was created in the search engine and digital library, CiteSeer. However, that feature is no longer supported. Another acknowledgement extraction and indexing system for acknowledgement was AckSeer, however, that indexing system is not available today as well.
- "Acknowledgement vs. Acknowledgment – Correct Spelling – Grammarist".
- Councill, Isaac G.; Giles, C. Lee; Han, Hui; Manavoglu, Eren (2005). "Automatic acknowledgement indexing: expanding the semantics of contribution in the CiteSeer digital library". Proceedings of the 3rd international conference on Knowledge capture. K-CAP '05. pp. 19–26. CiteSeerX 10.1.1.59.1661. doi:10.1145/1088622.1088627. ISBN 1-59593-163-5.
- Giles, C. L.; Councill, I. G. (December 15, 2004). "Who gets acknowledged: Measuring scientific contributions through automatic acknowledgment indexing" (PDF). Proc. Natl. Acad. Sci. U.S.A. 101 (51): 17599–17604. Bibcode:2004PNAS..10117599G. doi:10.1073/pnas.0407743101. PMC 539757. PMID 15601767.
- "About CiteSeerX". Archived from the original on 2013-09-01. Retrieved 2013-08-26.
- "About AckSeer". Archived from the original on 2013-05-01.