Thursday, June 12, 2008

Citation Statistics; report from IMU of imapct factors and citation ranking

International Mathematical Union announces Citation Statistics report
Numbers with a number of problems

Wednesday, 11 June 2008

The International Mathematical Union today released the Citation Statistics report. Citation-based statistics, such as the impact factor, are often used to assess scientific research, but are they the best measures of research quality? Three international mathematics organizations have today released a report, Citation Statistics, on the use of citations in assessing research quality – a topic that is of increasing interest throughout the world's scientific community.

The report is written from a mathematical perspective and strongly cautions against the over-reliance on citation statistics such as the impact factor and h-index. These are often promoted because of the belief in their accuracy, objectivity, and simplicity, but these beliefs are unfounded.

Among the report’s key findings:
  • Statistics are not more accurate when they are improperly used; statistics can mislead when they are misused or misunderstood.
  • The objectivity of citations is illusory because the meaning of citations is not well-understood. A citation's meaning can be very far from "impact".
  • While having a single number to judge quality is indeed simple, it can lead to a shallow under-standing of something as complicated as research. Numbers are not inherently superior to sound judgments.
The report promotes the sensible use of citation statistics in evaluating research and points out several common misuses. It is written by mathematical scientists about a widespread application of mathematics. While the authors of the report recognize that assessment must be practical and that easily- derived citation statistics will be part of the process, they caution that citations provide only a limited and incomplete view of research quality.

Research is too important, they say, to measure its value with only a single coarse tool.

The report was commissioned by the International Mathematical Union (IMU) in cooperation with the International Council on Industrial and Applied Mathematics (ICIAM), and the Institute of Mathematical Statistics (IMS). It draws upon a broad literature on the use of citation data to evaluate research, including articles on the impact factor (the most common citation-
based statistic) and the h-index along with its many variants. The work was also based on practices as reported from mathematicians and other scientists from around the world.

About the International Mathematical Union (IMU): IMU is an international non-governmental and non-profit scientific organization, with the purpose of promoting international cooperation in mathematics. More information at

Contact: Martin Groetschel, Secretary of the International Mathematical Union
Zuse Institute Berlin, Takustr. 7 D-14195 Berlin, Germany
e-mail:, phone: +49 30 84185 210

To Share or Not To Share: Publication and Quality Assurance of Research Data Results

Recently released report from UK Research Information Network (RIN) has a summary as well as links to the full report. The report is based upon analysis on 100+ in-depth interviews.

Couple of suggestive results to us are:
  1. a number of factors (e.g. lack of explicit career rewards, a wish to retain exclusive use of the data until their publication value has been exhausted, a lack of time, resources, expertise, or an appropriate archive service) constrain the publishing of research data; and
  2. there is need for evaluating quality of research data and making them more searchable accessible, and usable.