An acknowledgment index (British acknowledgement index)[1] is a scientometric index which analyzes acknowledgments 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 acknowledgment 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 analyzes the components separately. However, the total number of acknowledgments to an acknowledged entity can be measured and so can the number of citations to the papers in which the acknowledgment 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.[2][3]

The first automated acknowledgment indexing was created in the search engine and digital library, CiteSeer.[4] However, that feature is no longer supported. Another acknowledgment extraction and indexing system for acknowledgment was AckSeer,[5] however, that indexing system is not available today as well.

See also


  1. ^ "Acknowledgement vs. Acknowledgment – Correct Spelling – Grammarist". 22 September 2012.
  2. ^ 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 doi:10.1145/1088622.1088627. ISBN 1-59593-163-5.
  3. ^ 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.
  4. ^ "About CiteSeerX". Archived from the original on 2013-09-01. Retrieved 2013-08-26.
  5. ^ "About AckSeer". Archived from the original on 2013-05-01.