Deep impact: unintended consequences of journal rank

被引:200
作者
Brembs, Bjoern [1 ]
Button, Katherine [2 ]
Munafo, Marcus [3 ,4 ]
机构
[1] Univ Regensburg, Inst Zool Neurogenet, D-93040 Regensburg, Bavaria, Germany
[2] Univ Bristol, Sch Social & Community Med, Bristol, Avon, England
[3] Univ Bristol, UK Ctr Tobacco Control Studies, Bristol, Avon, England
[4] Univ Bristol, Sch Expt Psychol, Bristol, Avon, England
来源
FRONTIERS IN HUMAN NEUROSCIENCE | 2013年 / 7卷
基金
英国经济与社会研究理事会; 英国医学研究理事会;
关键词
impact factor; journal ranking; statistics as topic; publishing; open access; scholarly communication; libraries; library services; PUBLICATION BIAS; SCIENCE; ARTICLES; CITATION; METAANALYSIS; INACCURACIES; TRANSPARENCY; RETRACTIONS; SCIENTISTS; MISCONDUCT;
D O I
10.3389/fnhum.2013.00291
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Most researchers acknowledge an intrinsic hierarchy in the scholarly journals ("journal rank") that they submit their work to, and adjust not only their submission but also their reading strategies accordingly. On the other hand, much has been written about the negative effects of institutionalizing journal rank as an impact measure. So far, contributions to the debate concerning the limitations of journal rank as a scientific impact assessment tool have either lacked data, or relied on only a few studies. In this review, we present the most recent and pertinent data on the consequences of our current scholarly communication system with respect to various measures of scientific quality (such as utility/citations, methodological soundness, expert ratings or retractions). These data corroborate previous hypotheses: 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 functions of the current journal system.
引用
收藏
页数:12
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