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‘Cycle Thieves, We Are Watching You’: Impact of a Simple Signage Intervention against Bicycle Theft

Overview of attention for article published in PLOS ONE, December 2012
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50 news outlets
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6 blogs
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149 X users
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8 Facebook pages
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3 Wikipedia pages
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249 Mendeley
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2 CiteULike
Title
‘Cycle Thieves, We Are Watching You’: Impact of a Simple Signage Intervention against Bicycle Theft
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051738
Pubmed ID
Authors

Daniel Nettle, Kenneth Nott, Melissa Bateson

Abstract

Bicycle theft is a serious problem in many countries, and there is a lack of evidence concerning effective prevention strategies. Displaying images of 'watching eyes' has been shown to make people behave in more socially desirable ways in a number of settings, but it is not yet clear if this effect can be exploited for purposes of crime prevention. We report the results of a simple intervention on a university campus where signs featuring watching eyes and a related verbal message were displayed above bicycle racks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 149 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 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 6 2%
Hungary 2 <1%
France 2 <1%
United States 2 <1%
United Arab Emirates 1 <1%
Germany 1 <1%
Austria 1 <1%
Portugal 1 <1%
Romania 1 <1%
Other 1 <1%
Unknown 231 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 43 17%
Student > Bachelor 39 16%
Student > Ph. D. Student 38 15%
Researcher 27 11%
Professor > Associate Professor 17 7%
Other 44 18%
Unknown 41 16%
Readers by discipline Count As %
Psychology 79 32%
Social Sciences 33 13%
Agricultural and Biological Sciences 19 8%
Business, Management and Accounting 12 5%
Engineering 10 4%
Other 40 16%
Unknown 56 22%