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Journal Impact Factor (JIF) measures the frequency the average article in a given journal has been cited in a particular year and measures a journal's importance or rank by the number of times its articles are cited. JIF is calculated according to a two-year period and divides the number of times articles were cited by the number of articles which may be cited. Eigenfactor scores measure how likely a journal is to be cited and how frequently its information may be used by researchers. JIF information is based on journal citations from Web of Science Core Collection and available in Journal Citation Reports (JCR) database.
The table below lists the top 10 journals in JCR in the medical informatics category:
Journal Title |
Total Cites |
Journal Impact Factor (JIF) |
Eigenfactor Score |
Journal of Medical Internet Research |
10,875 |
4.671 |
0.02741 |
JMIR mHealth and uHealth |
1,418 |
4.541 |
0.00463 |
Journal of the American Medical Informatics Association |
8,713 |
4.270 |
0.01758 |
IEEE Journal of Biomedical and Health Informatics |
2,992 |
3.850 |
0.00810 |
Medical Decision Making |
4,718 |
3.012 |
0.00923 |
International Journal of Medical Informatics |
4,584 |
2.957 |
0.00660 |
Journal of Biomedical Informatics |
5,871 |
2.882 |
0.00834 |
Artificial Intelligence in Medicine |
2,097 |
2.879 |
0.00287 |
Computer Methods and Programs in Medicine |
5,915 |
2.674 |
0.00889 |
Statistical Methods in Medical Research |
3,435 |
2.284 |
0.00948 |
For more information about how journal impact factors are calculated, visit Journal Citation Reports: Learn the Basics from Clarivate Analytics.
To find other journals' impact factors, visit JCR (Journal Citation Reports) in the "Databases" tab to the left. For a brief tutorial on how to use JCR, please watch the video below.
Source: University of Illinois Chicago University Library
Research impact can be measured in different ways using different tools. Traditionally, the indicators included the number of times a publication was cited and journal impact. Recent years, altmetrics have been used to measure a researcher's impact, which takes into account not just academic citations (traditional means), but also digital use and sharing of data (non-traditional means). It can include the number of times a paper has been viewed, tweeted, 'liked' on Facebook, covered by the media or blogs, downloaded, cited on Wikipedia or bookmarked online.
Author/Article Impact
Journal Impact