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When Is a Sprint a Sprint? A Review of the Analysis of Team-Sport Athlete Activity Profile

Overview of attention for article published in Frontiers in Physiology, June 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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2 news outlets
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111 X users
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Title
When Is a Sprint a Sprint? A Review of the Analysis of Team-Sport Athlete Activity Profile
Published in
Frontiers in Physiology, June 2017
DOI 10.3389/fphys.2017.00432
Pubmed ID
Authors

Alice J. Sweeting, Stuart J. Cormack, Stuart Morgan, Robert J. Aughey

Abstract

The external load of a team-sport athlete can be measured by tracking technologies, including global positioning systems (GPS), local positioning systems (LPS), and vision-based systems. These technologies allow for the calculation of displacement, velocity and acceleration during a match or training session. The accurate quantification of these variables is critical so that meaningful changes in team-sport athlete external load can be detected. High-velocity running, including sprinting, may be important for specific team-sport match activities, including evading an opponent or creating a shot on goal. Maximal accelerations are energetically demanding and frequently occur from a low velocity during team-sport matches. Despite extensive research, conjecture exists regarding the thresholds by which to classify the high velocity and acceleration activity of a team-sport athlete. There is currently no consensus on the definition of a sprint or acceleration effort, even within a single sport. The aim of this narrative review was to examine the varying velocity and acceleration thresholds reported in athlete activity profiling. The purposes of this review were therefore to (1) identify the various thresholds used to classify high-velocity or -intensity running plus accelerations; (2) examine the impact of individualized thresholds on reported team-sport activity profile; (3) evaluate the use of thresholds for court-based team-sports and; (4) discuss potential areas for future research. The presentation of velocity thresholds as a single value, with equivocal qualitative descriptors, is confusing when data lies between two thresholds. In Australian football, sprint efforts have been defined as activity >4.00 or >4.17 m·s(-1). Acceleration thresholds differ across the literature, with >1.11, 2.78, 3.00, and 4.00 m·s(-2) utilized across a number of sports. It is difficult to compare literature on field-based sports due to inconsistencies in velocity and acceleration thresholds, even within a single sport. Velocity and acceleration thresholds have been determined from physical capacity tests. Limited research exists on the classification of velocity and acceleration data by female team-sport athletes. Alternatively, data mining techniques may be used to report team-sport athlete external load, without the requirement of arbitrary or physiologically defined thresholds.

X Demographics

X Demographics

The data shown below were collected from the profiles of 111 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 377 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 377 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 64 17%
Student > Ph. D. Student 42 11%
Student > Bachelor 38 10%
Researcher 31 8%
Student > Doctoral Student 21 6%
Other 76 20%
Unknown 105 28%
Readers by discipline Count As %
Sports and Recreations 203 54%
Medicine and Dentistry 16 4%
Nursing and Health Professions 12 3%
Social Sciences 5 1%
Computer Science 5 1%
Other 23 6%
Unknown 113 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 90. 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 29 November 2023.
All research outputs
#487,189
of 25,866,425 outputs
Outputs from Frontiers in Physiology
#261
of 15,739 outputs
Outputs of similar age
#10,132
of 334,614 outputs
Outputs of similar age from Frontiers in Physiology
#15
of 285 outputs
Altmetric has tracked 25,866,425 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,739 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done particularly well, scoring higher than 98% 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 334,614 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 285 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.