Evidence map›Paper›PMID 20826469›Full record

ArticleBiology letters2011

Male dance moves that catch a woman's eye.

Nick Neave, Kristofor McCarty, Jeanette Freynik, Nicholas Caplan, Johannes Hönekopp, Bernhard Fink

Abstract read
In one paragraph

Article in Biology letters, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. Article
  6. Article
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  9. Article
  10. Article
  11. Article
  12. Reliability of Judging in DanceSport.Frontiers in psychology · 2019
    Article
  13. Review
  14. Article
  15. Article
  16. Joint action aesthetics.PloS one · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nick NeaveSchool of Life Sciences, Northumbria University, Newcastle upon Tyne NE1 8ST, UK. nick.neave@northumbria.ac.uk
Kristofor McCarty
Jeanette Freynik
Nicholas Caplan
Johannes Hönekopp
Bernhard Fink

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Male movements serve as courtship signals in many animal species, and may honestly reflect the genotypic and/or phenotypic quality of the individual. Attractive human dance moves, particularly those of males, have been reported to show associations with measures of physical strength, prenatal androgenization and symmetry. Here we use advanced three-dimensional motion-capture technology to identify possible biomechanical differences between women's perceptions of 'good' and 'bad' male dancers. Nineteen males were recorded using the 'Vicon' motion-capture system while dancing to a basic rhythm; controlled stimuli in the form of avatars were then created in the form of 15 s video clips, and rated by 39 females for dance quality. Initial analyses showed that 11 movement variables were significantly positively correlated with perceived dance quality. Linear regression subsequently revealed that three movement measures were key predictors of dance quality; these were variability and amplitude of movements of the neck and trunk, and speed of movements of the right knee. In summary, we have identified specific movements within men's dance that influence women's perceptions of dancing ability. We suggest that such movements may form honest signals of male quality in terms of health, vigour or strength, though this remains to be confirmed.

Indexed as

DancingAdolescentAdultCourtshipFemaleHumansImage Processing, Computer-AssistedLinear ModelsMale

Identifiers

PMID20826469
PMCPMC3061152

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.