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Citation Statistics: A Report From The International Mathematical =
- To: liblicense-l@lists.yale.edu
- Subject: Citation Statistics: A Report From The International Mathematical =
- From: "Pippa Smart" <pippa.smart@googlemail.com>
- Date: Wed, 18 Jun 2008 20:02:53 -0400 (EDT)
As the Book Reviews Editor for Learned Publishing, I would like to ask if anyone on these lists would like to prepare a review of this report, perhaps comparing it against other reviews of citation use and abuse? I would be looking for a review of about 750-1000 words. If anyone is interested, please reply to me directly, Many thanks pippa pippa.smart@gmail.com ---------- Forwarded message ---------- From: Gerry Mckiernan <gerrymck@iastate.edu> Date: 2008/6/13 Subject: [LIS-E-JOURNALS] _Citation Statistics_: A Report From The International Mathematical Union To: LIS-E-JOURNALS@jiscmail.ac.uk Friends: Those Damn Statistics: Can't Live WithOut Them, Can't Live With Them Citation Statistics A report from the International Mathematical Union (IMU) in cooperation with the International Council of Industrial and Applied Mathematics (ICIAM) and the Institute of Mathematical Statistics (IMS) Executive Summary This is a report about the use and misuse of citation data in the assessment of scientific research. The idea that research assessment must be done using "simple and objective" methods is increasingly prevalent today. The "simple and objective" methods are broadly interpreted as bibliometrics, that is, citation data and the statistics derived from them. There is a belief that citation statistics are inherently more accurate because they substitute simple numbers for complex judgments, and hence overcome the possible subjectivity of peer review. But this belief is unfounded. [snip] Using citation data to assess research ultimately means using citation-based statistics to rank things: journals, papers, people, programs, and disciplines. The statistical tools used to rank these things are often misunderstood and misused. [snip] The validity of statistics such as the impact factor and h-index is neither well understood nor well studied. The connection of these statistics with research quality is sometimes established on the basis of "experience." The justification for relying on them is that they are "readily available." The few studies of these statistics that were done focused narrowly on showing a correlation with some other measure of quality rather than on determining how one can best derive useful information from citation data. [more] [http://scholarship20.blogspot.com/2008/06/citation-statistics-report-from.= html] OR [http://tinyurl.com/3ldmts] Regards, Gerry McKiernan Associate Professor Science and Technology Librarian Iowa State University Library Ames IA 50011 ---2071850956-406648555-1213832871=:10394--
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