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Evidence of Big Five and Aggressive Personalities in Gait Biomechanics

Overview of attention for article published in Journal of Nonverbal Behavior, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 419)
  • High Attention Score compared to outputs of the same age (99th percentile)

Mentioned by

news
42 news outlets
blogs
6 blogs
twitter
26 X users
facebook
4 Facebook pages
googleplus
2 Google+ users

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
88 Mendeley
citeulike
1 CiteULike
Title
Evidence of Big Five and Aggressive Personalities in Gait Biomechanics
Published in
Journal of Nonverbal Behavior, September 2016
DOI 10.1007/s10919-016-0240-1
Pubmed ID
Authors

Liam Satchell, Paul Morris, Chris Mills, Liam O’Reilly, Paul Marshman, Lucy Akehurst

Abstract

Behavioral observation techniques which relate action to personality have long been neglected (Furr and Funder in Handbook of research methods in personality psychology, The Guilford Press, New York, 2007) and, when employed, often use human judges to code behavior. In the current study we used an alternative to human coding (biomechanical research techniques) to investigate how personality traits are manifest in gait. We used motion capture technology to record 29 participants walking on a treadmill at their natural speed. We analyzed their thorax and pelvis movements, as well as speed of gait. Participants completed personality questionnaires, including a Big Five measure and a trait aggression questionnaire. We found that gait related to several of our personality measures. The magnitude of upper body movement, lower body movement, and walking speed, were related to Big Five personality traits and aggression. Here, we present evidence that some gait measures can relate to Big Five and aggressive personalities. We know of no other examples of research where gait has been shown to correlate with self-reported measures of personality and suggest that more research should be conducted between largely automatic movement and personality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 26 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Luxembourg 1 1%
Unknown 86 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 23%
Researcher 9 10%
Student > Master 7 8%
Student > Bachelor 7 8%
Student > Doctoral Student 6 7%
Other 17 19%
Unknown 22 25%
Readers by discipline Count As %
Psychology 30 34%
Engineering 7 8%
Sports and Recreations 5 6%
Medicine and Dentistry 5 6%
Computer Science 4 5%
Other 8 9%
Unknown 29 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 378. 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 28 August 2019.
All research outputs
#83,631
of 25,708,267 outputs
Outputs from Journal of Nonverbal Behavior
#3
of 419 outputs
Outputs of similar age
#1,792
of 346,022 outputs
Outputs of similar age from Journal of Nonverbal Behavior
#1
of 3 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 419 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done particularly well, scoring higher than 99% 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 346,022 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 99% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them