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Does cycling effect motor coordination of the leg during running in elite triathletes?

Overview of attention for article published in Journal of Science and Medicine in Sport, April 2007
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Title
Does cycling effect motor coordination of the leg during running in elite triathletes?
Published in
Journal of Science and Medicine in Sport, April 2007
DOI 10.1016/j.jsams.2007.02.008
Pubmed ID
Authors

Andrew R. Chapman, Bill Vicenzino, Peter Blanch, Steve Dowlan, Paul W. Hodges

Abstract

Triathletes report incoordination when running after cycling. We investigated the influence of the transition from cycling to running on leg movement and muscle recruitment during running in elite international level triathletes. Leg movement (three-dimensional kinematics) and tibialis anterior (TA) muscle activity (surface electromyography) were compared between a control-run (no prior exercise) and a 30-min transition-run (preceded by 20 min of cycling; i.e., run versus cycle-run). The role of fatigue in motor changes was also investigated. Leg kinematics were not different between control- and transition-runs in any triathlete. Recruitment of TA was different in 5 of 14 triathletes, in whom altered TA recruitment patterns during the transition-run were more similar to recruitment patterns of TA during cycling. Changes in TA recruitment during the transition-run were not associated with altered force production of TA or other leg muscles during isometric fatigue testing, or myoelectric indicators of fatigue (median frequency, average rectified value). These findings suggest that short periods of cycling do not influence running kinematics or TA muscle activity in most elite triathletes. However, our findings are evidence that leg muscle activity during running is influenced by cycling in at least some elite triathletes despite their years of training. This influence is not related to kinematic variations and is unlikely related to fatigue but may be a direct effect of cycling on motor commands for running.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 2 1%
Brazil 2 1%
South Africa 2 1%
United Kingdom 2 1%
Argentina 1 <1%
Belgium 1 <1%
United States 1 <1%
Croatia 1 <1%
Unknown 157 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 17%
Student > Master 27 16%
Student > Bachelor 21 12%
Researcher 11 7%
Student > Doctoral Student 10 6%
Other 43 25%
Unknown 29 17%
Readers by discipline Count As %
Sports and Recreations 75 44%
Medicine and Dentistry 19 11%
Agricultural and Biological Sciences 10 6%
Biochemistry, Genetics and Molecular Biology 5 3%
Engineering 5 3%
Other 15 9%
Unknown 40 24%
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 31 March 2023.
All research outputs
#16,720,137
of 25,371,288 outputs
Outputs from Journal of Science and Medicine in Sport
#2,077
of 2,874 outputs
Outputs of similar age
#75,698
of 86,888 outputs
Outputs of similar age from Journal of Science and Medicine in Sport
#5
of 9 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,874 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one is in the 25th percentile – i.e., 25% 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 86,888 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.