Large-Scale Assessment of the Effect of Popularity on the Reliability of Research

被引:15
作者
Pfeiffer, Thomas
Hoffmann, Robert
机构
[1] Program for Evolutionary Dynamic, Harvard University, Cambridge, MA
[2] Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT), Cambridge, MA
来源
PLOS ONE | 2009年 / 4卷 / 06期
关键词
D O I
10.1371/journal.pone.0005996
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Based on theoretical reasoning it has been suggested that the reliability of findings published in the scientific literature decreases with the popularity of a research field. Here we provide empirical support for this prediction. We evaluate published statements on protein interactions with data from high-throughput experiments. We find evidence for two distinctive effects. First, with increasing popularity of the interaction partners, individual statements in the literature become more erroneous. Second, the overall evidence on an interaction becomes increasingly distorted by multiple independent testing. We therefore argue that for increasing the reliability of research it is essential to assess the negative effects of popularity and develop approaches to diminish these effects.
引用
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页数:4
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