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Coordination Pattern Variability Provides Functional Adaptations to Constraints in Swimming Performance

Overview of attention for article published in Sports Medicine, June 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)

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Citations

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61 Dimensions

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176 Mendeley
Title
Coordination Pattern Variability Provides Functional Adaptations to Constraints in Swimming Performance
Published in
Sports Medicine, June 2014
DOI 10.1007/s40279-014-0210-x
Pubmed ID
Authors

Ludovic Seifert, John Komar, Tiago Barbosa, Huub Toussaint, Grégoire Millet, Keith Davids

Abstract

In a biophysical approach to the study of swimming performance (blending biomechanics and bioenergetics), inter-limb coordination is typically considered and analysed to improve propulsion and propelling efficiency. In this approach, 'opposition' or 'continuous' patterns of inter-limb coordination, where continuity between propulsive actions occurs, are promoted in the acquisition of expertise. Indeed a 'continuous' pattern theoretically minimizes intra-cyclic speed variations of the centre of mass. Consequently, it may also minimize the energy cost of locomotion. However, in skilled swimming performance there is a need to strike a delicate balance between inter-limb coordination pattern stability and variability, suggesting the absence of an 'ideal' pattern of coordination toward which all swimmers must converge or seek to imitate. Instead, an ecological dynamics framework advocates that there is an intertwined relationship between the specific intentions, perceptions and actions of individual swimmers, which constrains this relationship between coordination pattern stability and variability. This perspective explains how behaviours emerge from a set of interacting constraints, which each swimmer has to satisfy in order to achieve specific task performance goals and produce particular task outcomes. This overview updates understanding on inter-limb coordination in swimming to analyse the relationship between coordination variability and stability in relation to interacting constraints (related to task, environment and organism) that swimmers may encounter during training and performance.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
Portugal 1 <1%
New Zealand 1 <1%
Netherlands 1 <1%
United States 1 <1%
Poland 1 <1%
Unknown 169 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 31 18%
Student > Ph. D. Student 28 16%
Student > Bachelor 27 15%
Researcher 12 7%
Student > Doctoral Student 9 5%
Other 31 18%
Unknown 38 22%
Readers by discipline Count As %
Sports and Recreations 80 45%
Social Sciences 11 6%
Engineering 11 6%
Agricultural and Biological Sciences 8 5%
Nursing and Health Professions 7 4%
Other 15 9%
Unknown 44 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 21 May 2017.
All research outputs
#4,592,957
of 22,756,196 outputs
Outputs from Sports Medicine
#1,803
of 2,701 outputs
Outputs of similar age
#45,592
of 228,067 outputs
Outputs of similar age from Sports Medicine
#35
of 46 outputs
Altmetric has tracked 22,756,196 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,701 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 50.7. This one is in the 33rd percentile – i.e., 33% 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 228,067 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.