O'Really?

June 28, 2011

Impact Factor Boxing 2011

Khmer Boxing by  lecercle, on Flickr[This post is part of an ongoing series about impact factors. See Impact Factor Boxing 2012 for the latest figures.]

Well it’s that time again. The annual sweaty fist-fight for supremacy between the scientific journals, as measured by impact factors, is upon us. Much ink (virtual and actual) has been spilt on the subject of impact factors, which we won’t add to here, other than to say:

Hey look, the “European” journals might be catching up with the “American” ones. [1]

So, love them, loathe them, use them, abuse them, ignore them or obsess over them… here’s a tiny selection of the 10,196 journals that are tracked in Journal Citation Reports (JCR) ordered by increasing impact.

WARNING: Abusing these figures can seriously damage your Science – you have been warned! (normal caveats apply)

Journal 2010 data from isiknowledge.com/JCR Eigenfactor™ Metrics
Total Cites Impact Factor 5-Year Impact Factor Immediacy Index Articles Cited Half-life Eigenfactor™ Score Article Influence™ Score
The Naval Architect* 16 0.005 0.004 0.005 189 0.00002 0.001
BMC Bioinformatics 12653 3.028 3.786 0.475 690 3.9 0.08086 1.495
PLoS ONE 42795 4.411 4.610 0.515 6714 2.1 0.32121 1.943
OUP Bioinformatics 40659 4.877 6.325 0.707 700 5.7 0.17973 2.649
PLoS Computational Biololgy 6849 5.515 6.251 0.727 406 2.8 0.06075 2.984
Genome Biology 14194 6.885 7.353 1.295 173 4.9 0.07688 3.585
Nucleic Acids Research 100444 7.836 7.314 1.755 1101 7.0 0.32867 3.016
Briefings in Bioinformatics 2886 9.283 7.395 1.204 49 5.8 0.01013 2.737
PLoS Biology 18453 12.469 14.375 2.706 214 4.1 0.16084 8.225
Science 469704 31.364 31.769 6.789 862 9.0 1.46485 16.859
Nature 511145 36.101 35.241 8.791 862 9.1 1.74466 19.334
New England Journal of Medicine 227674 53.484 52.362 10.675 345 7.5 0.69167 21.366
CA – A Cancer Journal for Clinicians ** 9801 94.262 70.216 8.667 18 3.8 0.04923 24.782

* The Naval Architect is included here for reference as it has the lowest non-zero impact factor of any science journal. A rather dubious honour…

** The Cancer Journal for Clinicians is the highest ranked journal in science, is included here for reference.

[Creative Commons licensed picture of Khmer boxing picture by lecercle]

References

  1. Karageorgopoulos, D., Lamnatou, V., Sardi, T., Gkegkes, I., & Falagas, M. (2011). Temporal Trends in the Impact Factor of European versus USA Biomedical Journals PLoS ONE, 6 (2) DOI: 10.1371/journal.pone.0016300

June 22, 2010

Impact Factor Boxing 2010

Golden Gloves Prelim Bouts by Kate Gardiner[This post is part of an ongoing series about impact factors. See this post for the latest impact factors published in 2012.]

Roll up, roll up, ladies and gentlemen, Impact Factor Boxing is here again. As with last year (2009), the metrics used in this combat sport are already a year out of date. But this doesn’t stop many people from writing about impact factors and it’s been an interesting year [1] for the metrics used by many to judge the relative value of scientific work. The Public Library of Science (PLoS) launched their article level metrics within the last year following the example of BioMedCentral’s “most viewed” articles feature. Next to these new style metrics, the traditional impact factors live on, despite their limitations. Critics like Harold Varmus have recently pointed out that (quote):

“The impact factor is a completely flawed metric and it’s a source of a lot of unhappiness in the scientific community. Evaluating someone’s scientific productivity by looking at the number of papers they published in journals with impact factors over a certain level is poisonous to the system. A couple of folks are acting as gatekeepers to the distribution of information, and this is a very bad system. It really slows progress by keeping ideas and experiments out of the public domain until reviewers have been satisfied and authors are allowed to get their paper into the journal that they feel will advance their career.”

To be fair though, it’s not the metric that is flawed, more the way it is used (and abused) – a subject covered in much detail in a special issue of Nature at http://nature.com/metrics [2,3,4,5]. It’s much harder than it should be to get hold of these metrics, so I’ve reproduced some data below (fair use? I don’t know I am not a lawyer…) to minimise the considerable frustrations of using Journal Citation Reports (JCR).

Love them, loathe them, use them, abuse them, ignore them or obsess over them … here’s a small selection of the 7347 journals that are tracked in JCR  ordered by increasing impact.

Journal Title 2009 data from isiknowledge.com/JCR Eigenfactor™ Metrics
Total Cites Impact Factor 5-Year Impact Factor Immediacy Index Articles Cited Half-life Eigenfactor™  Score Article Influence™ Score
RSC Integrative Biology 34 0.596 57 0.00000
Communications of the ACM 13853 2.346 3.050 0.350 177 >10.0 0.01411 0.866
IEEE Intelligent Systems 2214 3.144 3.594 0.333 33 6.5 0.00447 0.763
Journal of Web Semantics 651 3.412 0.107 28 4.6 0.00222
BMC Bionformatics 10850 3.428 4.108 0.581 651 3.4 0.07335 1.516
Journal of Molecular Biology 69710 3.871 4.303 0.993 916 9.2 0.21679 2.051
Journal of Chemical Information and Modeling 8973 3.882 3.631 0.695 266 5.9 0.01943 0.772
Journal of the American Medical Informatics Association (JAMIA) 4183 3.974 5.199 0.705 105 5.7 0.01366 1.585
PLoS ONE 20466 4.351 4.383 0.582 4263 1.7 0.16373 1.918
OUP Bioinformatics 36932 4.926 6.271 0.733 677 5.2 0.16661 2.370
Biochemical Journal 50632 5.155 4.365 1.262 455 >10.0 0.10896 1.787
BMC Biology 1152 5.636 0.702 84 2.7 0.00997
PLoS Computational Biology 4674 5.759 6.429 0.786 365 2.5 0.04369 3.080
Genome Biology 12688 6.626 7.593 1.075 186 4.8 0.08005 3.586
Trends in Biotechnology 8118 6.909 8.588 1.407 81 6.4 0.02402 2.665
Briefings in Bioinformatics 2898 7.329 16.146 1.109 55 5.3 0.01928 5.887
Nucleic Acids Research 95799 7.479 7.279 1.635 1070 6.5 0.37108 2.963
PNAS 451386 9.432 10.312 1.805 3765 7.6 1.68111 4.857
PLoS Biology 15699 12.916 14.798 2.692 195 3.5 0.17630 8.623
Nature Biotechnology 31564 29.495 27.620 5.408 103 5.7 0.14503 11.803
Science 444643 29.747 31.052 6.531 897 8.8 1.52580 16.570
Cell 153972 31.152 32.628 6.825 359 8.7 0.70117 20.150
Nature 483039 34.480 32.906 8.209 866 8.9 1.74951 18.054
New England Journal of Medicine 216752 47.050 51.410 14.557 352 7.5 0.67401 19.870

Maybe next year Thomson Reuters, who publish this data, could start attaching large government health warnings (like on cigarette packets) and long disclaimers to this data? WARNING: Abusing these figures can seriously damage your Science – you have been warned!

References

  1. Rizkallah, J., & Sin, D. (2010). Integrative Approach to Quality Assessment of Medical Journals Using Impact Factor, Eigenfactor, and Article Influence Scores PLoS ONE, 5 (4) DOI: 10.1371/journal.pone.0010204
  2. Abbott, A., Cyranoski, D., Jones, N., Maher, B., Schiermeier, Q., & Van Noorden, R. (2010). Metrics: Do metrics matter? Nature, 465 (7300), 860-862 DOI: 10.1038/465860a
  3. Van Noorden, R. (2010). Metrics: A profusion of measures Nature, 465 (7300), 864-866 DOI: 10.1038/465864a
  4. Braun, T., Osterloh, M., West, J., Rohn, J., Pendlebury, D., Bergstrom, C., & Frey, B. (2010). How to improve the use of metrics Nature, 465 (7300), 870-872 DOI: 10.1038/465870a
  5. Lane, J. (2010). Let’s make science metrics more scientific Nature, 464 (7288), 488-489 DOI: 10.1038/464488a

[Creative Commons licensed picture of Golden Gloves Prelim Bouts by Kate Gardiner ]

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