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On the (non)persuasive power of a brain image

Overview of attention for article published in Psychonomic Bulletin & Review, February 2013
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5 blogs
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143 X users
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2 peer review sites
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Title
On the (non)persuasive power of a brain image
Published in
Psychonomic Bulletin & Review, February 2013
DOI 10.3758/s13423-013-0391-6
Pubmed ID
Authors

Robert B. Michael, Eryn J. Newman, Matti Vuorre, Geoff Cumming, Maryanne Garry

Abstract

The persuasive power of brain images has captivated scholars in many disciplines. Like others, we too were intrigued by the finding that a brain image makes accompanying information more credible (McCabe & Castel in Cognition 107:343-352, 2008). But when our attempts to build on this effect failed, we instead ran a series of systematic replications of the original study-comprising 10 experiments and nearly 2,000 subjects. When we combined the original data with ours in a meta-analysis, we arrived at a more precise estimate of the effect, determining that a brain image exerted little to no influence. The persistent meme of the influential brain image should be viewed with a critical eye.

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X Demographics

The data shown below were collected from the profiles of 143 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 3 2%
Netherlands 2 1%
Norway 1 <1%
United Kingdom 1 <1%
Spain 1 <1%
Russia 1 <1%
Luxembourg 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 160 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 17%
Student > Bachelor 30 17%
Student > Master 26 15%
Researcher 24 14%
Student > Doctoral Student 9 5%
Other 33 19%
Unknown 23 13%
Readers by discipline Count As %
Psychology 98 56%
Neuroscience 15 9%
Social Sciences 7 4%
Agricultural and Biological Sciences 3 2%
Engineering 2 1%
Other 17 10%
Unknown 33 19%