↓ Skip to main content

Weak Relationships between Stint Duration, Physical and Skilled Match Performance in Australian Football

Overview of attention for article published in Frontiers in Physiology, October 2017
Altmetric Badge

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)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
10 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
66 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Weak Relationships between Stint Duration, Physical and Skilled Match Performance in Australian Football
Published in
Frontiers in Physiology, October 2017
DOI 10.3389/fphys.2017.00820
Pubmed ID
Authors

David M. Corbett, Alice J. Sweeting, Sam Robertson

Abstract

Australian Rules football comprises physical and skilled performance for more than 90 min of play. The cognitive and physiological fatigue experienced by participants during a match may reduce performance. Consequently, the length of time an athlete is on the field before being interchanged (known as a stint), is a key tactic which could maximize the skill and physical output of the Australian Rules athlete. This study developed two methods to quantify the relationship between athlete time on field, skilled and physical output. Professional male athletes (n = 39) from a single elite Australian Rules football club participated, with physical output quantified via player tracking systems across 22 competitive matches. Skilled output was calculated as the sum of involvements performed by each athlete, collected from a commercial statistics company. A random intercept and slope model was built to identify how a team and individuals respond to physical outputs and stint lengths. Stint duration (mins), high intensity running (speeds >14.4 km · hr(-1)) per minute, meterage per minute and very high intensity running (speeds >25 km·hr(-1)) per minute had some relationship with skilled involvements. However, none of these relationships were strong, and the direction of influence for each player was varied. Three conditional inference trees were computed to identify the extent to which combinations of physical parameters altered the anticipated skilled output of players. Meterage per minute, player, round number and duration were all related to player involvement. All methods had an average error of 10 to 11 involvements, per player per match. Therefore, other factors aside from physical parameters extracted from wearable technologies may be needed to explain skilled output within Australian Rules football matches.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 15%
Student > Master 8 12%
Researcher 7 11%
Student > Bachelor 7 11%
Other 3 5%
Other 8 12%
Unknown 23 35%
Readers by discipline Count As %
Sports and Recreations 23 35%
Medicine and Dentistry 6 9%
Psychology 3 5%
Nursing and Health Professions 2 3%
Social Sciences 2 3%
Other 5 8%
Unknown 25 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 21 March 2022.
All research outputs
#2,042,424
of 24,133,587 outputs
Outputs from Frontiers in Physiology
#1,134
of 14,768 outputs
Outputs of similar age
#41,112
of 331,921 outputs
Outputs of similar age from Frontiers in Physiology
#44
of 333 outputs
Altmetric has tracked 24,133,587 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,768 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 92% 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 331,921 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 333 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.