Deep Impact: Unintended consequences of journal rank

by Björn Brembs, Marcus Munafò
published in 2013
Abstract Much has been said about the increasing bureaucracy in science, stifling innovation, hampering the creativity of researchers and incentivizing misconduct, even outright fraud. Many anecdotes have been recounted, observations described and conclusions drawn about the negative impact of impact assessment on scientists and science. However, few of these accounts have drawn their conclusions from data, and those that have typically relied on a few studies. In this review, we present the most recent and pertinent data on the consequences that our current scholarly communication system has had on various measures of scientific quality (such as utility/citations, methodological soundness, expert ratings and retractions). These data confirm previous suspicions: using journal rank as an assessment tool is bad scientific practice. Moreover, the data lead us to argue that any journal rank (not only the currently-favored Impact Factor) would have this negative impact. Therefore, we suggest that abandoning journals altogether, in favor of a library-based scholarly communication system, will ultimately be necessary. This new system will use modern information technology to vastly improve the filter, sort and discovery function of the current journal system.
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Unintended consequences of journal rank http://t.co/dy2cItWlhr
2 weeks ago
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@ It's been on arxiv from the start: http://t.co/SZf1Z2UB8x
by brembs
2 weeks ago
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RT @: Our manuscript on journal rank now 'in press' at Front. in Neuroscience. Expect it there within a month. Until then: http://t.co/SZf1Z2UB8x
2 weeks ago
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Our manuscript on journal rank now 'in press' at Front. in Neuroscience. Expect it there within a month. Until then: http://t.co/SZf1Z2UB8x
by brembs
2 weeks ago
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Deep #Impact: Unintended consequences of journal rank http://t.co/UF81yHeJDX via @
2 weeks ago
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@ Yes, which is what I said: http://t.co/SZf1Z2UB8x
by brembs
3 weeks ago
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@ Then why are they so bad at it? Correlations with IF are negligibly low: http://t.co/SZf1Z2UB8x
by brembs
3 weeks ago
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@ Whoever it is, they totally suck at it: correlations between 'importance' and IF are so low, negligible: http://t.co/SZf1Z2UB8x
by brembs
3 weeks ago
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RT @: @ What I mean is use the scientific method instead of impact factor: http://t.co/SZf1Z2UB8x
3 weeks ago
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@ What I mean is use the scientific method instead of impact factor: http://t.co/SZf1Z2UB8x
by brembs
3 weeks ago