O'Really?

June 29, 2012

Impact Factor Boxing 2012

Filed under: publishing,Science — Duncan Hull @ 7:28 am
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Rocky Balboa Philadelphia, PA

Rocky Balboa, Philadelphia, PA. Creative Commons licensed picture by seng1011 (steve eng) on Flickr.

[This post is part of an ongoing series about impact factors]

In the world of abused performance metrics, the impact factor is the undisputed heavyweight champion of the (publishing) world.

It has been an eventful year in the boxing ring of scientific publishing since the last set of figures were published by Thomson-Reuters. A brand new journal called PeerJ launched with a radical publish ’til you perish business model [1]. There’s another new journal on the way too in the shape of eLifeSciences – with it’s own significant differences from current publishing models. Then there was the Finch report on Open Access. If that wasn’t enough fun, there’s been the Alternative metrics “Altmetrics” movement gathering pace [2], alongside suggestions that the impact factor may be losing its grip on the supposed “title” [3].

The impact factors below are the most recent, published June 28th 2012, covering data from 2011. Love them or loathe them, use them or abuse them, game them or shame them … here is a tiny selection of impact factors for the 10,675 journals that are tracked in Journal Citation Reports (JCR) ordered by increasing punch power.

WARNING: Abusing these figures can seriously damage your Science – you have been warned! Normal caveats apply, see nature.com/metrics.

Journal 2011 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
Russian Journal of Cardiology* 3 0.005 0.000 75 0.00000
BMC Bioinformatics 14268 2.751 3.493 0.293 557 4.2 0.07757 1.314
PLoS ONE 75544 4.092 4.537 0.437 13781 2.4 0.50216 1.797
Briefings in Bioinformatics 2859 5.202 7.749 0.692 65 4.3 0.01129 2.857
PLoS Computational Biology 8924 5.215 5.844 0.710 407 3.1 0.06968 2.722
OUP Bioinformatics 43380 5.468 6.051 0.666 707 6.2 0.15922 2.606
Nucleic Acids Research 106520 8.026 7.417 2.016 1230 7.4 0.30497 3.003
Genome Biology 15556 9.036 7.896 1.550 151 5.2 0.08221 4.124
PLoS Biology 20579 11.452 13.630 2.461 180 4.6 0.14975 7.830
Science 480836 31.201 32.452 6.075 871 9.4 1.41282 17.508
Nature 526505 36.280 36.235 9.690 841 9.4 1.65658 20.353
New England Journal of Medicine 232068 53.298 50.075 11.484 349 7.8 0.66466 21.293
CA – A Cancer Journal for Clinicians** 10976 101.780 67.410 21.263 19 3.8 0.04502 24.502

* The Russian Journal of Cardiology 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, it is included here for reference. Could it be the first journal to have an impact factor of more than 100?

References

  1. Richard Van Noorden (2012). Journal offers flat fee for ‘all you can publish’, Nature, 486 (7402) 166. DOI: 10.1038/486166a
  2. Jason Priem, Heather Piwowar and Bradley Hemminger (2012).  Altmetrics in the wild: Using social media to explore scholarly impact arxiv.org/abs/1203.4745
  3. George Lozano, Vincent Lariviere and Yves Gingras (2012). The weakening relationship between the Impact Factor and papers’ citations in the digital age arxiv.org/abs/1205.4328

June 28, 2011

Impact Factor Boxing 2011

Filed under: publishing — Duncan Hull @ 8:31 pm
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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

Filed under: data mining,informatics,publishing — Duncan Hull @ 7:39 am
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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 ]

June 23, 2009

Impact Factor Boxing 2009

Filed under: data mining,informatics,publishing — Duncan Hull @ 12:59 pm
Tags: , , , , , , , , , , , , , , , , , , , , , ,

Fight Night Punch Test by djclear904[This post is part of an ongoing series about impact factors]

The latest results from the annual impact factor boxing world championship contest are out. This is a combat sport where scientific journals are scored according to their supposed influence and impact in Science. This years competition rankings include the first-ever update to the newly introduced Five Year Impact Factor and Eigenfactor™ Metrics [1,2] in Journal Citation Reports (JCR) on the Web (see www.isiknowledge.com/JCR warning: clunky website requires subscription*), presumably in response to widespread criticism of impact factors. The Eigenfactor™ seems to correlate quite closely with the impact factor scores, both of which work at the level of the journal, although they use different methods for measuring a given journals impact. However, what many authors are often more interested in is the impact of an individual article, not the journal where it was published. So it would be interesting to see how the figures below tally with Google Scholar, see also comments by Abhishek Tiwari. I’ve included a table below of bioinformatics impact factors, updated for June 2009. Of course, when I say 2009 (today), I mean 2008 (these are the latest figures available based on data from 2007) – so this shiny new information published this week is already out of date [3] and flawed [4,5] but here is a selection of the data anyway: [update: see figures published in June 2010.]

Journal Title 2008 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
BMC Bionformatics 8141 3.781 4.246 0.664 607 2.8 0.06649 1.730
OUP Bioinformatics 30344 4.328 6.481 0.566 643 4.8 0.18204 2.593
Briefings in Bioinformatics 2908 4.627 1.273 44 4.5 0.02188
PLoS Computational Biology 2730 5.895 6.144 0.826 253 2.1 0.03063 3.370
Genome Biology 9875 6.153 7.812 0.961 229 4.4 0.07930 3.858
Nucleic Acids Research 86787 6.878 6.968 1.635 1070 6.5 0.37108 2.963
PNAS 416018 9.380 10.228 1.635 3508 7.4 1.69893 4.847
Science 409290 28.103 30.268 6.261 862 8.4 1.58344 16.283
Nature 443967 31.434 31.210 8.194 899 8.5 1.76407 17.278

The internet is radically changing the way we communicate and this includes scientific publishing, as media mogul Rupert Murdoch once pointed out big will not beat small any more – it will be the fast beating the slow.  An interesting question for publishers and scientists is, how can the Web help the faster flyweight and featherweight boxers (smaller journals) compete and punch-above-their-weight with the reigning world champion heavyweights (Nature, Science and PNAS)? Will the heavyweight publishers always have the killer knockout punches? If you’ve got access to the internet, then you already have a ringside seat from which to watch all the action. This fight should be entertaining viewing and there is an awful lot of money riding on the outcome [6-11].

Seconds away, round two…

References

  1. Fersht, A. (2009). The most influential journals: Impact Factor and Eigenfactor Proceedings of the National Academy of Sciences, 106 (17), 6883-6884 DOI: 10.1073/pnas.0903307106
  2. Bergstrom, C., & West, J. (2008). Assessing citations with the Eigenfactor Metrics Neurology, 71 (23), 1850-1851 DOI: 10.1212/01.wnl.0000338904.37585.66
  3. Cockerill, M. (2004). Delayed impact: ISI’s citation tracking choices are keeping scientists in the dark. BMC Bioinformatics, 5 (1) DOI: 10.1186/1471-2105-5-93
  4. Allen, L., Jones, C., Dolby, K., Lynn, D., & Walport, M. (2009). Looking for Landmarks: The Role of Expert Review and Bibliometric Analysis in Evaluating Scientific Publication Outputs PLoS ONE, 4 (6) DOI: 10.1371/journal.pone.0005910
  5. Grant, R.P. (2009) On article-level metrics and other animals Nature Network
  6. Corbyn, Z. (2009) Do academic journals pose a threat to the advancement of Science? Times Higher Education
  7. Fenner, M. (2009) PLoS ONE: Interview with Peter Binfield Gobbledygook blog at Nature Network
  8. Hoyt, J. (2009) Who is killing science on the Web? Publishers or Scientists? Mendeley Blog
  9. Hull, D. (2009) Escape from the Impact Factor: The Great Escape? O’Really? blog
  10. Murray-Rust, P. (2009) THE article: Do academic journals pose a threat to the advancement of science? Peter Murray-Rust’s blog: A Scientist and the Web
  11. Wu, S. (2009) The evolution of Scientific Impact shirleywho.wordpress.com

* This important data should be freely available (e.g. no subscription), since crucial decisions about the allocation of public money depend on it, but that’s another story.

[More commentary on this post over at friendfeed. CC-licensed Fight Night Punch Test by djclear904]

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