Bibliometric Analysis Task

A bibliometric analysis task is a data analysis task whose main input is published documents data.

• AKA: Bibliometrics.
• Context:
  • It can produce a Bibliometric Analysis Report, such as a Citations Analysis Report, or a References Analysis Report.
  • …
• Example(s):
  • a Citation Analysis Task.
  • a Textual Content Analysis Task.
• See: Document Topics Analysis, Citation Impact.

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References

• http://scholar.google.com/scholar?q=%22Bibliometric+Analysis%22

2009

• http://en.wikipedia.org/wiki/Bibliometrics
  • Bibliometrics is a set of methods used to study or measure texts and information. 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 (see Henderson, Shurville and Fernstrom 2009). The UK government is considering using bibliometrics 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.

2006

• (Mann et al., 2006) ⇒ Gideon S. Mann, David Mimno, and Andrew McCallum. (2006). “Bibliometric impact measures leveraging topic analysis”. In: Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries (JCDL 2006). doi:10.1145/1141753.1141765
  • NOTES: It proposes a topic model that leverages n-grams to discover interpretable, fine-grained topics in over a million research papers.
  • NOTES: It uses the topic divisions as well as co-citation analysis to extend several existing bibliometric impact measures, and create new ones such as: Topical Diversity, Topical Transfer, and Topical Precedence.
  • QUOTE: … Our proposed bibliometric analysis is important for helping individuals absorb the research literature, find old and new relevant work, and make connections to other sub-fields. These tools are also especially useful to novices and researchers who are switching fields. …

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