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Activity profiles of professional soccer, rugby league and Australian football match play

Overview of attention for article published in Journal of Sports Sciences, September 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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16 X users
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1 Google+ user

Citations

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258 Mendeley
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Title
Activity profiles of professional soccer, rugby league and Australian football match play
Published in
Journal of Sports Sciences, September 2013
DOI 10.1080/02640414.2013.823227
Pubmed ID
Authors

Matthew C. Varley, Tim Gabbett, Robert J. Aughey

Abstract

Abstract We compared the match activity profiles of elite footballers from Australian football (AF), rugby league (RL) and soccer (SOC), using identical movement definitions. Ninety-four elite footballers from AF, RL or SOC clubs in Australia participated in this study. Movement data were collected using a 5-Hz global positioning system from matches during the 2008-2011 competitive seasons, including measures of velocity, distance, acceleration and bouts of repeat sprints (RS). Australian footballers covered the greatest relative running distances (129 ± 17 m.min(-1)) compared to RL (97 ± 16 m.min(-1)) and SOC (104 ± 10 m.min(-1)) (effect size [ES]; 1.0-2.8). The relative distance covered (4.92 ± 2.10 m.min(-1) vs. 5.42 ± 2.49 m.min(-1); 0.74 ± 0.78 m.min(-1) vs. 0.97 ± 0.80 m.min(-1)) and the number of high-velocity running (0.4 ± 0.2 no.min(-1) vs. 0.4 ± 0.2 no.min(-1)) and sprint (0.06 ± 0.06 no.min(-1) vs. 0.08 ± 0.07 no.min(-1)) efforts between RL and SOC players were similar (ES; 0.1-0.3). Rugby league players undertook the highest relative number of accelerations (1.10 ± 0.56 no.min(-1)). RS bouts were uncommon for all codes. RL and SOC players perform less running than AF players, possibly due to limited open space as a consequence of field size and code specific rules. While training in football should be code specific, there may be some transference of conditioning drills across codes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Qatar 2 <1%
United Kingdom 1 <1%
Germany 1 <1%
Spain 1 <1%
Unknown 253 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 46 18%
Student > Ph. D. Student 38 15%
Student > Bachelor 36 14%
Researcher 17 7%
Student > Postgraduate 16 6%
Other 49 19%
Unknown 56 22%
Readers by discipline Count As %
Sports and Recreations 147 57%
Medicine and Dentistry 17 7%
Nursing and Health Professions 8 3%
Engineering 6 2%
Psychology 4 2%
Other 14 5%
Unknown 62 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 11 December 2014.
All research outputs
#3,064,221
of 25,352,304 outputs
Outputs from Journal of Sports Sciences
#1,239
of 4,043 outputs
Outputs of similar age
#25,462
of 205,631 outputs
Outputs of similar age from Journal of Sports Sciences
#15
of 59 outputs
Altmetric has tracked 25,352,304 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.1. This one has gotten more attention than average, scoring higher than 69% of its peers.
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 205,631 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 87% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.