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Monitoring Training Load to Understand Fatigue in Athletes

Overview of attention for article published in Sports Medicine, September 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

news
13 news outlets
blogs
5 blogs
twitter
197 X users
patent
1 patent
facebook
12 Facebook pages
video
4 YouTube creators

Citations

dimensions_citation
1079 Dimensions

Readers on

mendeley
3371 Mendeley
Title
Monitoring Training Load to Understand Fatigue in Athletes
Published in
Sports Medicine, September 2014
DOI 10.1007/s40279-014-0253-z
Pubmed ID
Authors

Shona L. Halson

Abstract

Many athletes, coaches, and support staff are taking an increasingly scientific approach to both designing and monitoring training programs. Appropriate load monitoring can aid in determining whether an athlete is adapting to a training program and in minimizing the risk of developing non-functional overreaching, illness, and/or injury. In order to gain an understanding of the training load and its effect on the athlete, a number of potential markers are available for use. However, very few of these markers have strong scientific evidence supporting their use, and there is yet to be a single, definitive marker described in the literature. Research has investigated a number of external load quantifying and monitoring tools, such as power output measuring devices, time-motion analysis, as well as internal load unit measures, including perception of effort, heart rate, blood lactate, and training impulse. Dissociation between external and internal load units may reveal the state of fatigue of an athlete. Other monitoring tools used by high-performance programs include heart rate recovery, neuromuscular function, biochemical/hormonal/immunological assessments, questionnaires and diaries, psychomotor speed, and sleep quality and quantity. The monitoring approach taken with athletes may depend on whether the athlete is engaging in individual or team sport activity; however, the importance of individualization of load monitoring cannot be over emphasized. Detecting meaningful changes with scientific and statistical approaches can provide confidence and certainty when implementing change. Appropriate monitoring of training load can provide important information to athletes and coaches; however, monitoring systems should be intuitive, provide efficient data analysis and interpretation, and enable efficient reporting of simple, yet scientifically valid, feedback.

X Demographics

X Demographics

The data shown below were collected from the profiles of 197 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 3,371 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 7 <1%
Spain 6 <1%
United Kingdom 6 <1%
United States 5 <1%
Malaysia 3 <1%
Netherlands 2 <1%
Portugal 2 <1%
Qatar 2 <1%
France 1 <1%
Other 8 <1%
Unknown 3329 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 665 20%
Student > Bachelor 538 16%
Student > Ph. D. Student 333 10%
Researcher 231 7%
Student > Postgraduate 161 5%
Other 577 17%
Unknown 866 26%
Readers by discipline Count As %
Sports and Recreations 1598 47%
Medicine and Dentistry 218 6%
Nursing and Health Professions 134 4%
Engineering 73 2%
Agricultural and Biological Sciences 66 2%
Other 315 9%
Unknown 967 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 261. 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 14 October 2023.
All research outputs
#141,305
of 25,646,963 outputs
Outputs from Sports Medicine
#123
of 2,892 outputs
Outputs of similar age
#1,135
of 250,354 outputs
Outputs of similar age from Sports Medicine
#4
of 35 outputs
Altmetric has tracked 25,646,963 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,892 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.2. This one has done particularly well, scoring higher than 95% 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 250,354 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 99% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.