Evidence map›Paper›PMID 28181991›Full record

ArticleScientific reports2017

Optimal asymmetry and other motion parameters that characterise high-quality female dance.

Kristofor McCarty, Hannah Darwin, Piers L Cornelissen, Tamsin K Saxton, Martin J Tovée, Nick Caplan, Nick Neave

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Mate assessment based on physical characteristics: a review and reflection.Biological reviews of the Cambridge Philosophical Society · 2025
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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

7 authors.

Kristofor McCartyDepartment of Psychology, Faculty of Health &Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.
Hannah DarwinDepartment of Psychology, Faculty of Health &Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.
Piers L CornelissenDepartment of Psychology, Faculty of Health &Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.
Tamsin K SaxtonDepartment of Psychology, Faculty of Health &Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.
Martin J TovéeSchool of Psychology, College of Social Science, University of Lincoln, Lincolnshire, LN6 7TS, UK.
Nick CaplanDepartment of Sport, Exercise &Rehabilitation, Faculty of Health &Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.
Nick NeaveDepartment of Psychology, Faculty of Health &Life Sciences, Northumbria University, Newcastle upon Tyne, NE1 8ST, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dance is a universal human behaviour that is observed particularly in courtship contexts, and that provides information that could be useful to potential partners. Here, we use a data-driven approach to pinpoint the movements that discriminate female dance quality. Using 3D motion-capture we recorded women whilst they danced to a basic rhythm. Video clips of 39 resultant avatars were rated for dance quality, and those ratings were compared to quantitative measurements of the movement patterns using multi-level models. Three types of movement contributed independently to high-quality female dance: greater hip swing, more asymmetric movements of the thighs, and intermediate levels of asymmetric movements of the arms. Hip swing is a trait that identifies female movement, and the ability to move limbs asymmetrically (i.e. independently of the other) may attest to well-developed motor control, so long as this limb independence does not verge into uncontrolled pathological movement. We also found that the same level of dance quality could be predicted by different combinations of dance features. Our work opens avenues to exploring the functional significance, informational content, and temporal sequencing of the different types of movement in dance.

Indexed as

DancingMotionFemaleHumansMaleMovementSex Factors

Identifiers

PMID28181991
PMCPMC5299992

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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.