|Related fields and sub-fields|
Bibliometrics is a set of methods to quantitatively analyze scientific and technological literature. The term was coined by Alan Pritchard in a paper published in 1969, titled Statistical Bibliography or Bibliometrics?. He defined the term as "the application of mathematics and statistical methods to books and other media of communication". Citation analysis and content analysis are commonly used bibliometric methods. While bibliometric methods are most often used in the field of library and information science, bibliometrics have wide applications in other areas. In fact, many research fields use bibliometric methods to explore the impact of their field, the impact of a set of researchers, or the impact of a particular paper. Bibliometrics are now used in quantitative research assessment exercises of academic output which is starting to threaten practice based research. The UK government is considering using bibliometrics as a possible auxiliary tool in its Research Excellence Framework, a process which will assess the quality of the research output of UK universities and on the basis of the assessment results, allocate research funding.
Historically bibliometric methods have been used to trace relationships amongst academic journal citations. Citation analysis, which involves examining an item's referring documents, is used in searching for materials and analyzing their merit. Citation indices, such as Institute for Scientific Information's Web of Science, allow users to search forward in time from a known article to more recent publications which cite the known item.
Data from citation indexes can be analyzed to determine the popularity and impact of specific articles, authors, and publications. Using citation analysis to gauge the importance of one's work, for example, is a significant part of the tenure review process. Information scientists also use citation analysis to quantitatively assess the core journal titles and watershed publications in particular disciplines; interrelationships between authors from different institutions and schools of thought; and related data about the sociology of academia. Some more pragmatic applications of this information includes the planning of retrospective bibliographies, "giving some indication both of the age of material used in a discipline, and of the extent to which more recent publications supersede the older ones;" indicating through high frequency of citation which documents should be archived; comparing the coverage of secondary services which can help publishers gauge their achievements and competition, and can aid librarians in evaluating "the effectiveness of their stock". There are also some limitations to the value of citation data. They are often incomplete or biased; data has been largely collected by hand (which is expensive), though citation indexes can also be used; incorrect citing of sources occurs continually; thus, further investigation is required to truly understand the rationale behind citing to allow it to be confidently applied.
Although citation analysis is nothing new (the Science Citation Index began publication in 1961), it was all done manually and thus really couldn't scale. Automated algorithms are making it much more useful, versatile, and widespread; this led to the creation of the new field of computational bibliometrics. The first such algorithm for automated citation extraction and indexing was by CiteSeer. Google's PageRank is based on the principle of citation analysis. Patent citation maps are also based upon citation analysis (in this case, the citation of one patent by another).
Other bibliometrics applications include: creating thesauri; measuring term frequencies; as metrics in scientometric analysis, exploring grammatical and syntactical structures of texts; measuring usage by readers.
- H-index or Hirsch number
- Impact factor
- Citation impact
- Citation index
- Content analysis
- Data mining
- Bellis, De Nicola (2009). Bibliometrics and citation analysis: from the Science citation index to cybermetrics. Scarecrow Press. p. 417. ISBN 0-8108-6713-3.
- Pritchard, Alan, 'Statistical Bibliography or Bibliometrics?', Journal of Documentation, 25(4) Dec 1969, 348-349. http://independent.academia.edu/AlanPritchard/Papers/602982/Statistical_bibliography_or_bibliometrics Accessed 22 September 2012
- Bibliometrics at Royal Holloway led by Dr Alan Pilkington, Ver 9.08. Accessed 24 April 2009.
- Henderson, M., Shurville, S. and Fernstrom, K. (2009). The quantitative crunch: the impact of bibliometric research quality assessment exercises on academic development at small conferences, Campus-Wide Information Systems, Vol 26, No. 3, pp. 149–167
- Higher Education Funding Council for England, http://www.hefce.ac.uk/Research/ref/. Accessed 20 July 2009.
- Steve Kolowich. Tenure-o-meter in Inside Higher Ed, December 15, 2009. This article refers to the bibliometrics tool now known as Scholarometer
- Hoang, D.; Kaur, J. and Menczer, F. (2010), "Crowdsourcing Scholarly Data", Proceedings of the WebSci10: Extending the Frontiers of Society On-Line, April 26-27th, 2010, Raleigh, NC: US
- Nicholas, David and Maureen Ritchie. Literature and Bibliometrics London: Clive Bingley: 1978. (12-28).
- Nicholas, David and Maureen Ritchie. Literature and Bibliometrics London: Clive Bingley: 1978. (28-29).