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Wearable microtechnology can accurately identify collision events during professional rugby league match-play

Overview of attention for article published in Journal of Science and Medicine in Sport, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Article details
Title
Wearable microtechnology can accurately identify collision events during professional rugby league match-play
Published in
Journal of Science and Medicine in Sport, January 2017
DOI 10.1016/j.jsams.2016.11.006
Pubmed ID
Authors
Abstract

Collision frequency during rugby league matches is associated with team success, greater and longer lasting fatigue and increased injury risk. This study researched the sensitivity and specificity of microtechnology to count collision events during rugby league matches. Diagnostic accuracy study. While wearing a microtechnology device (Catapult, S5), eight professional rugby league players were subjected to a total of 380 collision events during matches. Video footage of each match was synchronised with microtechnology data. The occurrence of each collision event was coded in comparison with whether that event was or was not detected by microtechnology. Microtechnology detected 371 true-positive collision events (sensitivity=97.6±1.5%). When low-intensity (<1 PlayerLoad AU), short duration (<1s) events were excluded from the analysis, specificity was 91.7±2.5%, accuracy was 92.7±1.3%, positive likelihood ratio was 11.4×/÷1.4 and the typical error of estimate was 7.8%×/÷1.9 (d=0.29×/÷1.9, small). Microtechnology collisions were strongly and positively correlated with video coded collision events (r=0.96). The ability of microtechnology to detect collision events improved as the intensity and duration of the collision increased. Microtechnology can identify 97.6% of collision events during rugby league match-play. The typical error associated with measuring contact events can be reduced to 7.8%, with accuracy (92.7%) and specificity (91.7%) improving, when low-intensity (<1 PlayerLoad AU) and short duration (<1s) collision reports are excluded. This provides practitioners with a measurement of contact workload during professional rugby league matches.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 179 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 179 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 33 18%
Student > Master 27 15%
Student > Bachelor 15 8%
Other 9 5%
Researcher 8 4%
Other 28 16%
Unknown 59 33%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 56 31%
Computer Science 8 4%
Medicine and Dentistry 7 4%
Nursing and Health Professions 7 4%
Unspecified 7 4%
Other 27 15%
Unknown 67 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 23 April 2020.
All research outputs
#4,263,788
of 32,950,213 outputs
Outputs from Journal of Science and Medicine in Sport
#924
of 2,991 outputs
Outputs of similar age
#65,106
of 453,676 outputs
Outputs of similar age from Journal of Science and Medicine in Sport
#17
of 80 outputs
Altmetric has tracked 32,950,213 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 2,991 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.4. This one has gotten more attention than average, scoring higher than 73% 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 453,676 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 85% of its contemporaries.
We're also able to compare this research output to 80 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.