Scientometrics

, Volume 84, Issue 2, pp 365–371 | Cite as

Modified collaborative coefficient: a new measure for quantifying the degree of research collaboration

Article

Abstract

Collaborative coefficient (CC) is a measure of collaboration in research, that reflects both the mean number of authors per paper as well as the proportion of multi-authored papers. Although it lies between the values 0 and 1, and is 0 for a collection of purely single-authored papers, it is not 1 for the case where all papers are maximally authored, i.e., every publication in the collection has all authors in the collection as co-authors. We propose a simple modification of CC, which we call modified collaboration coefficient (or MCC, for short), which improves its performance in this respect.

Keywords

Collaborative coefficient Multiple authorship 

References

  1. Ajiferuke, I., Burrel, Q., & Tague, J. (1988). Collaborative coefficient: A single measure of the degree of collaboration in research. Scientometrics, 14, 421–433.CrossRefGoogle Scholar
  2. De Solla Price, D. J., & Beaver, D. B. (1966). Collaboration in an invisible college. American Psychologist, 21, 1011–1018.CrossRefGoogle Scholar
  3. Goffman, W., & Warren, K. S. (1969). A mathematical analysis of a medical literature: Schistosomiasis 1852–1962. In: K. Cheshire (Eds.), A symposium: Information in the health sciences. Working to the future, Cleveland Medical Library Association of the Cleveland Health Sciences Library, December 3–4.Google Scholar
  4. Gupta, B. M., Kumar, S., & Karisiddappa, C. R. (1997). Collaboration profile of theoretical population genetics speciality. Scientometrics, 39, 293–314.Google Scholar
  5. Lawani, S. M. (1980). Quality, collaboration and citations in cancer research: A 268 bibliometric study. Ph.D. Dissertation, Florida State University, 395 pp.Google Scholar
  6. Melin, G., & Persson, O. (1996). Studying research collaboration using co-authorships. Scientometrics, 36, 363–377.CrossRefGoogle Scholar
  7. Rousseau, R. (1994). The number of authors per article in library and information science can often be described by a simple probability distribution. Journal of Documentation, 50, 134–141.CrossRefGoogle Scholar
  8. Subramanyam, K. (1983). Bibliometric studeis of research collaboration: A review. Journal of Information Science, 6, 33–38.CrossRefGoogle Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2009

Authors and Affiliations

  1. 1.Raman Research InstituteBangaloreIndia
  2. 2.Poornaprajna Institute of Scientific ResearchBangaloreIndia

Personalised recommendations