↓ Skip to main content

Dove Medical Press

Single-leg squats can predict leg alignment in dancers performing ballet movements in “turnout”

Overview of attention for article published in Open Access Journal of Sports Medicine, November 2016
Altmetric Badge

Mentioned by

video
1 YouTube creator

Readers on

mendeley
61 Mendeley
Title
Single-leg squats can predict leg alignment in dancers performing ballet movements in “turnout”
Published in
Open Access Journal of Sports Medicine, November 2016
DOI 10.2147/oajsm.s119388
Pubmed ID
Authors

Luke S Hopper, Nahoko Sato, Andries L Weidemann

Abstract

The physical assessments used in dance injury surveillance programs are often adapted from the sports and exercise domain. Bespoke physical assessments may be required for dance, particularly when ballet movements involve "turning out" or external rotation of the legs beyond that typically used in sports. This study evaluated the ability of the traditional single-leg squat to predict the leg alignment of dancers performing ballet movements with turnout. Three-dimensional kinematic data of dancers performing the single-leg squat and five ballet movements were recorded and analyzed. Reduction of the three-dimensional data into a one-dimensional variable incorporating the ankle, knee, and hip joint center positions provided the strongest predictive model between the single-leg squat and the ballet movements. The single-leg squat can predict leg alignment in dancers performing ballet movements, even in "turned out" postures. Clinicians should pay careful attention to observational positioning and rating criteria when assessing dancers performing the single-leg squat.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 25%
Student > Ph. D. Student 8 13%
Student > Bachelor 8 13%
Other 4 7%
Researcher 4 7%
Other 10 16%
Unknown 12 20%
Readers by discipline Count As %
Medicine and Dentistry 18 30%
Nursing and Health Professions 13 21%
Sports and Recreations 9 15%
Design 2 3%
Engineering 2 3%
Other 5 8%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 November 2016.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Open Access Journal of Sports Medicine
#247
of 260 outputs
Outputs of similar age
#277,943
of 317,808 outputs
Outputs of similar age from Open Access Journal of Sports Medicine
#8
of 8 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 260 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 317,808 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.