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The Effect of Different Repeated-High-Intensity-Effort Bouts on Subsequent Running, Skill Performance, and Neuromuscular Function.

Overview of attention for article published in International Journal of Sports Physiology and Performance, July 2015
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Article details
Title
The Effect of Different Repeated-High-Intensity-Effort Bouts on Subsequent Running, Skill Performance, and Neuromuscular Function.
Published in
International Journal of Sports Physiology and Performance, July 2015
DOI 10.1123/ijspp.2015-0243
Pubmed ID
Authors
Abstract

To assess the impact of different repeated high-intensity effort (RHIE) bouts on player activity profiles, skill involvements and neuromuscular fatigue during small-sided games. Twenty-two semi-professional rugby league players (age 24.0 ± 1.8 years; body mass 95.6 ± 7.4 kg) participated in this study. During 4 testing sessions, players performed RHIE bouts that each differed in the combination of contact and running efforts, followed by a 5 min 'off-side' small-sided game before performing a second bout of RHIE activity and another 5 min small-sided game. Global positioning system microtechnology and video recordings provided information on activity profiles and skill involvements. A countermovement jump and a plyometric push-up assessed changes in lower- and upper-body neuromuscular function after each session. Following running dominant RHIE bouts, players maintained running intensities during both games. In the contact dominant RHIE bouts, reductions in moderate-speed activity were observed from game 1 to game 2 (ES = -0.71 to -1.06). There was also moderately lower disposal efficiencies across both games following contact dominant RHIE activity compared with running dominant activity (ES = 0.62-1.02). Greater reductions in lower-body fatigue occurred as RHIE bouts became more running dominant (ES = -0.01 to -1.36), whereas upper-body fatigue increased as RHIE bouts became more contact dominant (ES = -0.07 to -1.55). Physical contact causes reductions in running intensities and the quality of skill involvements during game-based activities. In addition, the neuromuscular fatigue experienced by players is specific to the activities performed.

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Mendeley demographics

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The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 23 20%
Student > Ph. D. Student 13 11%
Researcher 12 10%
Student > Bachelor 11 9%
Student > Doctoral Student 4 3%
Other 13 11%
Unknown 40 34%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 54 47%
Nursing and Health Professions 5 4%
Medicine and Dentistry 5 4%
Social Sciences 4 3%
Agricultural and Biological Sciences 1 <1%
Other 3 3%
Unknown 44 38%
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 03 August 2015.
All research outputs
#24,757,289
of 34,364,397 outputs
Outputs from International Journal of Sports Physiology and Performance
#2,286
of 2,701 outputs
Outputs of similar age
#198,320
of 298,333 outputs
Outputs of similar age from International Journal of Sports Physiology and Performance
#39
of 43 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
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 15.1. This one is in the 7th percentile – i.e., 7% 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 298,333 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.