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Jealousy in Dogs

Overview of attention for article published in PLOS ONE, July 2014
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Title
Jealousy in Dogs
Published in
PLOS ONE, July 2014
DOI 10.1371/journal.pone.0094597
Pubmed ID
Authors

Christine R. Harris, Caroline Prouvost

Abstract

It is commonly assumed that jealousy is unique to humans, partially because of the complex cognitions often involved in this emotion. However, from a functional perspective, one might expect that an emotion that evolved to protect social bonds from interlopers might exist in other social species, particularly one as cognitively sophisticated as the dog. The current experiment adapted a paradigm from human infant studies to examine jealousy in domestic dogs. We found that dogs exhibited significantly more jealous behaviors (e.g., snapping, getting between the owner and object, pushing/touching the object/owner) when their owners displayed affectionate behaviors towards what appeared to be another dog as compared to nonsocial objects. These results lend support to the hypothesis that jealousy has some "primordial" form that exists in human infants and in at least one other social species besides humans.

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X Demographics

The data shown below were collected from the profiles of 365 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 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Germany 2 <1%
Austria 2 <1%
Brazil 2 <1%
Hungary 2 <1%
Costa Rica 1 <1%
Finland 1 <1%
Japan 1 <1%
Luxembourg 1 <1%
Other 0 0%
Unknown 209 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 15%
Student > Bachelor 34 15%
Student > Ph. D. Student 30 13%
Other 26 12%
Student > Master 26 12%
Other 31 14%
Unknown 45 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 62 27%
Psychology 37 16%
Veterinary Science and Veterinary Medicine 28 12%
Social Sciences 10 4%
Computer Science 7 3%
Other 29 13%
Unknown 53 23%