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Leadership and Path Characteristics during Walks Are Linked to Dominance Order and Individual Traits in Dogs

Overview of attention for article published in PLoS Computational Biology, January 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
8 news outlets
blogs
2 blogs
twitter
28 X users
facebook
4 Facebook pages
googleplus
1 Google+ user
reddit
1 Redditor
video
2 YouTube creators

Citations

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56 Dimensions

Readers on

mendeley
174 Mendeley
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Title
Leadership and Path Characteristics during Walks Are Linked to Dominance Order and Individual Traits in Dogs
Published in
PLoS Computational Biology, January 2014
DOI 10.1371/journal.pcbi.1003446
Pubmed ID
Authors

Zsuzsa Ákos, Róbert Beck, Máté Nagy, Tamás Vicsek, Enikő Kubinyi

Abstract

Movement interactions and the underlying social structure in groups have relevance across many social-living species. Collective motion of groups could be based on an "egalitarian" decision system, but in practice it is often influenced by underlying social network structures and by individual characteristics. We investigated whether dominance rank and personality traits are linked to leader and follower roles during joint motion of family dogs. We obtained high-resolution spatio-temporal GPS trajectory data (823,148 data points) from six dogs belonging to the same household and their owner during 14 30-40 min unleashed walks. We identified several features of the dogs' paths (e.g., running speed or distance from the owner) which are characteristic of a given dog. A directional correlation analysis quantifies interactions between pairs of dogs that run loops jointly. We found that dogs play the role of the leader about 50-85% of the time, i.e. the leader and follower roles in a given pair are dynamically interchangable. However, on a longer timescale tendencies to lead differ consistently. The network constructed from these loose leader-follower relations is hierarchical, and the dogs' positions in the network correlates with the age, dominance rank, trainability, controllability, and aggression measures derived from personality questionnaires. We demonstrated the possibility of determining dominance rank and personality traits of an individual based only on its logged movement data. The collective motion of dogs is influenced by underlying social network structures and by characteristics such as personality differences. Our findings could pave the way for automated animal personality and human social interaction measurements.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 4 2%
Portugal 2 1%
Austria 2 1%
United States 2 1%
Brazil 2 1%
Germany 1 <1%
United Kingdom 1 <1%
Luxembourg 1 <1%
Unknown 159 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 20%
Researcher 28 16%
Student > Bachelor 23 13%
Student > Master 20 11%
Student > Doctoral Student 14 8%
Other 32 18%
Unknown 23 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 73 42%
Psychology 17 10%
Veterinary Science and Veterinary Medicine 13 7%
Social Sciences 8 5%
Physics and Astronomy 6 3%
Other 22 13%
Unknown 35 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 95. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 May 2018.
All research outputs
#449,593
of 25,576,801 outputs
Outputs from PLoS Computational Biology
#316
of 9,003 outputs
Outputs of similar age
#4,367
of 321,607 outputs
Outputs of similar age from PLoS Computational Biology
#3
of 118 outputs
Altmetric has tracked 25,576,801 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,003 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 321,607 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.