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Effects of treadmill running velocity on lower extremity coordination variability in healthy runners

Overview of attention for article published in Human Movement Science, August 2018
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Article details
Title
Effects of treadmill running velocity on lower extremity coordination variability in healthy runners
Published in
Human Movement Science, August 2018
DOI 10.1016/j.humov.2018.07.013
Pubmed ID
Authors
Abstract

With a growing interest in coordination variability and its role in endurance running, it is important to identify the effect of running velocity. The purpose of the current study was to investigate the effect of treadmill running velocity on the coordination and variability of coordination of lower extremity couplings of healthy runners during stance. Fourteen apparently healthy runners ran on a split-belt force instrumented treadmill at five different velocities. Continuous relative phase (CRP) was used to quantify coordination and variability (vCRP) between lower extremity couplings of the right limb (thigh-shank, thigh-foot, shank-foot) during three phases of stance (loading, mid stance, and propulsion). Multiple one-way repeated measure ANOVAs were conducted to identify differences among velocity conditions at each phase and discrete events (initial foot contact, peak knee flexion during stance, and toe-off). Thigh internal/external rotation (IR/ER)-Shank abduction/adduction (AB/AD) coupling was different during the propulsive phase (p = 0.02). Thigh flexion/extension-Shank flexion/extension showed the greatest differences in vCRP across velocity conditions with differences occurring during loading phase, mid stance, propulsive phase, and peak flexion (p < 0.05). Additionally, significant differences were seen in Thigh FL/EX-Shank FL/EX (toe-off, p = 0.01) and Thigh FL/EX-Foot inversion/eversion (IN/EV) (toe-off, p = 0.032). Interestingly, the decreases in vCRP values were accompanied by changes in center of mass vertical motion during stance, but not knee flexion angles. Increases in running velocity led to a more constrained running pattern through a reduction in degrees of freedom.

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X Demographics

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The data shown below were collected from the profiles of 3 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 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 98 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 23 23%
Student > Ph. D. Student 11 11%
Student > Bachelor 8 8%
Student > Doctoral Student 5 5%
Researcher 5 5%
Other 11 11%
Unknown 35 36%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 34 35%
Engineering 6 6%
Nursing and Health Professions 5 5%
Medicine and Dentistry 4 4%
Neuroscience 4 4%
Other 3 3%
Unknown 42 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 07 August 2018.
All research outputs
#16,053,755
of 25,385,509 outputs
Outputs from Human Movement Science
#723
of 1,214 outputs
Outputs of similar age
#196,252
of 340,721 outputs
Outputs of similar age from Human Movement Science
#17
of 27 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,214 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 36th percentile – i.e., 36% 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 340,721 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.