Informetrics

Informetrics is the study of quantitative aspects of information.[1] This includes the production, dissemination and use of all forms of information, regardless of its form or origin. As such, informetrics encompasses the fields of

  • scientometrics, which studies quantitative aspects of science;
  • webometrics, which studies quantitative aspects of the World Wide Web;
  • cybermetrics, which is similar to webometrics, but broadens its definition to include electronic resources;
  • bibliometrics, which studies quantitative aspects of recorded information.

The term informetrics (Informetrie) was coined by Nacke[2] in 1979.

In the western world, 20th century's Informetrics is mostly based on Lotka's law, named after Alfred J. Lotka, Zipf's law named after George Kingsley Zipf, Bradford's law named after Samuel C. Bradford and on the work of Derek J. de Solla Price, Gerard Salton, Leo Egghe, Ronald Rousseau, Tibor Braun, Olle Persson, Peter Ingwersen, Manfred Bonitz and Eugene Garfield .

Quantitative analysis of bibliographic data was pioneered by Robert K. Merton with an article later titled Science, Technology and Society in Seventeenth Century England and originally published by Merton[3] in 1938.


Footnotes

  1. ^ Tague-Sutcliffe, 1992
  2. ^ Nacke, 1979
  3. ^ Merton, Robert K.: Studies on the History and Philosophy of Science, and on the History of Learning and Culture. Bruges, The St. Catherine Press, Ltd., 1938, Osiris,IV,2, 360-632.(Extended edition, Humanities Press, 1970. Reprinted 1978. Reissued: Howard Fertig, 2001)
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References

  • Bar-Ilan, Judit (2008). "Informetrics at the beginning of the 21st century — A review". Journal of Informetrics 2 (1): 1–52. doi:10.1016/j.joi.2007.11.001. 
  • Braam, Robert R. (1991). Mapping of science: Foci of intellectual interest in scientific literature. DSWO Press. ISBN 90-6695-049-8. 
  • Nacke, O. (1979). "Informetrie: eine neuer Name für eine neue Disziplin". Nachrichten für Dokumentation 30 (6): 219–226. 
  • Wilson, Concepción S. (1999). "Informetrics". Annual Review of Information Science and Technology (Medford, NJ: Information Today) 34: 107–247. 
  • Wolfram, D. (2003). Applied Informetrics for Information Retrieval Research. Libraries Unlimited. 
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Last modified on 7 March 2013, at 07:20