Impact Factors
An Impact Factor is one measure of the relative importance of a journal, individual article or scientist to science and social science literature and research. Each index or database used to create an impact factor uses a different methodology and produces slightly different results, revealing the importance of using several sources to judge the true impact of a journal's or scientist’s work. Included on this page is information on Journal Impact Factor and Author Impact Factor.
Informed and careful use of these impact data is essential, and should be based on a thorough understanding of the methodology used to generate impact factors. There are controversial aspects of using impact factors:
- It is not clear whether the number of times a paper is cited measures its actual quality.
- Some databases that calculate impact factors fail to incorporate publications including textbooks, handbooks and reference books.
- Certain disciplines have low numbers of journals and usage. Therefore, one should only compare journals or researchers within the same discipline.
- Review articles normally are cited more often and therefore can skew results.
- Self-citing may also skew results.
- Some resources used to calculate impact factors have inadequate international coverage.
- Editorial policies can artificially inflate an impact factor.
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