Governing knowledge in the scientific community: Exploring the role of retractions in biomedicine
被引:102
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作者:
Furman, Jeffrey L.
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机构:
Boston Univ, Sch Management, Boston, MA 02215 USA
Natl Bur Econ Res, Cambridge, MA 02138 USABoston Univ, Sch Management, Boston, MA 02215 USA
Furman, Jeffrey L.
[1
,2
]
Jensen, Kyle
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机构:
Publ Intellectual Property Resource Agr, Davis, CA 95616 USA
Harvard MIT Hlth Sci & Technol, Cambridge, MA 02139 USABoston Univ, Sch Management, Boston, MA 02215 USA
Jensen, Kyle
[3
,4
]
Murray, Fiona
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机构:
Harvard MIT Hlth Sci & Technol, Cambridge, MA 02139 USA
MIT, Sloan Sch Management, Cambridge, MA 02142 USABoston Univ, Sch Management, Boston, MA 02215 USA
Murray, Fiona
[4
,5
]
机构:
[1] Boston Univ, Sch Management, Boston, MA 02215 USA
[2] Natl Bur Econ Res, Cambridge, MA 02138 USA
[3] Publ Intellectual Property Resource Agr, Davis, CA 95616 USA
[4] Harvard MIT Hlth Sci & Technol, Cambridge, MA 02139 USA
[5] MIT, Sloan Sch Management, Cambridge, MA 02142 USA
Although the validity of knowledge is critical to scientific progress, substantial concerns exist regarding the governance of knowledge production. While research errors are as relevant to the knowledge economy as defects are to the manufacturing economy, mechanisms to identify and signal "defective" or false knowledge are poorly understood. In this paper, we investigate one such institution - the system of scientific retractions. We analyze the universe of peer-reviewed scientific articles retracted from the biomedical literature between 1972-2006 and comparing with a matched control sample in order to identify the correlates, timing, and causal impact of scientific retractions. This effort provides insight into the workings of a distributed, peer-based system for the governance of validity in scientific knowledge. Our findings suggest that attention is a key predictor of retraction - retracted articles arise most frequently among highly-cited articles. The retraction system is expeditious in uncovering knowledge that is ever determined to be false (the mean time to retraction is less than two years) and democratic (retraction is not systematically affected by author prominence). Lastly, retraction causes an immediate, severe, and long-lived decline in future citations. Conditional on the obvious limitation that we cannot measure the absolute amount of false science in circulation, these results support the view that distributed governance systems can be designed to uncover false knowledge relatively swiftly and to mitigate the costs that false knowledge for future generations of producers. (C) 2011 Elsevier B.V. All rights reserved.
机构:
Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R ChinaCent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China
Yang, Jinqing
Liu, Zhifeng
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机构:
Peking Univ, Dept Informat Management, Beijing 100871, Peoples R ChinaCent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China
Liu, Zhifeng
Huang, Yong
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机构:
Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R ChinaCent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China
机构:
South China Normal Univ, Aberdeen Inst Data Sci & Artificial Intelligence, Foshan, Peoples R ChinaSouth China Normal Univ, Aberdeen Inst Data Sci & Artificial Intelligence, Foshan, Peoples R China
Chai, Shaoming
Oon, Emily Pey-Tee
论文数: 0引用数: 0
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机构:
Univ Macau, Fac Educ, Taipa, Peoples R ChinaSouth China Normal Univ, Aberdeen Inst Data Sci & Artificial Intelligence, Foshan, Peoples R China
Oon, Emily Pey-Tee
Chai, Yuan
论文数: 0引用数: 0
h-index: 0
机构:
Univ Macau, Fac Social Sci, Taipa, Peoples R ChinaSouth China Normal Univ, Aberdeen Inst Data Sci & Artificial Intelligence, Foshan, Peoples R China
Chai, Yuan
Li, Zuokun
论文数: 0引用数: 0
h-index: 0
机构:
Univ Macau, Fac Educ, Taipa, Peoples R ChinaSouth China Normal Univ, Aberdeen Inst Data Sci & Artificial Intelligence, Foshan, Peoples R China