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Influence of Ball-in-Play Time on the Activity Profiles of Rugby League Match-Play

Overview of attention for article published in Journal of Strength & Conditioning Research, March 2015
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  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

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Title
Influence of Ball-in-Play Time on the Activity Profiles of Rugby League Match-Play
Published in
Journal of Strength & Conditioning Research, March 2015
DOI 10.1519/jsc.0000000000000446
Pubmed ID
Authors

Tim J Gabbett

Abstract

Most investigations of the activity profiles of rugby league match-play have reported the physical demands across the entire match, irrespective of stoppages in play. This study investigated the activity profiles of rugby league match-play, accounting for time when the ball was "in" and "out-of-play". One-hundred and four players (mean age, 24.0 ± 3.0 yr) from eleven semi-professional rugby league teams underwent global positioning system analysis during 22 matches. Matches were coded for activity and recovery cycles. Time when the ball was continuously in play was considered activity, whereas any stoppages during the match (e.g. for scrums, penalties, line drop-outs, and tries) were considered recovery. The relative distance (125.1 ± 16.1 m/min vs. 86.7 ± 9.8 m/min), low-speed activity (115.3 ± 15.7 m/min vs. 81.7 ± 9.8 m/min), and high-speed running (9.5 ± 2.9 m/min vs. 5.0 ± 1.8 m/min) demands were significantly (p<0.0001) higher when accounting for ball-in-play time. The frequency of collisions (0.67 ± 0.28 per minute vs. 0.41 ± 0.17 per minute) and repeated high-intensity effort bouts (1 every 6.1 ± 4.7 minutes vs. 1 every 10.7 ± 8.3 minutes) were also higher when stoppage time was excluded. Large negative correlations (p≤0.001) were found between total ball-in-play time and relative measures of total distance (r = -0.67) and low-speed activity (r = -0.60). These results demonstrate the greater movement, contact, and repeated high-intensity effort demands when rugby league time-motion data is expressed relative to ball-in-play time. Furthermore, the reduction in relative intensity with longer total ball-in-play time suggests that during prolonged passages of play, players adopt a pacing strategy in order to maintain high-intensity performance and manage fatigue.

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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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Unknown 99 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 18%
Student > Ph. D. Student 16 16%
Student > Bachelor 11 11%
Researcher 7 7%
Student > Doctoral Student 5 5%
Other 18 18%
Unknown 25 25%
Readers by discipline Count As %
Sports and Recreations 54 54%
Nursing and Health Professions 6 6%
Medicine and Dentistry 3 3%
Social Sciences 3 3%
Agricultural and Biological Sciences 1 1%
Other 4 4%
Unknown 29 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 December 2014.
All research outputs
#14,387,928
of 25,373,627 outputs
Outputs from Journal of Strength & Conditioning Research
#4,670
of 6,666 outputs
Outputs of similar age
#124,582
of 270,992 outputs
Outputs of similar age from Journal of Strength & Conditioning Research
#94
of 105 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,666 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one is in the 29th percentile – i.e., 29% 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 270,992 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.