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The Central Governor Model of Exercise Regulation Applied to the Marathon

Overview of attention for article published in Sports Medicine, November 2012
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
5 X users
video
2 YouTube creators

Citations

dimensions_citation
77 Dimensions

Readers on

mendeley
240 Mendeley
Title
The Central Governor Model of Exercise Regulation Applied to the Marathon
Published in
Sports Medicine, November 2012
DOI 10.2165/00007256-200737040-00026
Pubmed ID
Authors

Timothy D. Noakes

Abstract

Two popular models hold that performance during exercise is limited by chemical factors acting either in the exercising muscles or in the brain producing either 'peripheral' or 'central' fatigue, respectively. A common feature of both models is that neither allows humans to 'anticipate' what will happen in the future and modify their exercise response accordingly. The peripheral fatigue model predicts that exercise terminates only after there has been catastrophic failure in one or more body systems and only when all the available motor units in the active muscles have been activated. The marathon race provides evidence that human athletes race 'in anticipation' by setting a variable pace at the start, dependent in part on the environmental conditions and the expected difficulty of the course, with the capacity to increase that pace near the finish. Marathoners also finish such races without evidence for a catastrophic failure of homeostasis characterised by the development of a state of absolute fatigue in which all the available motor units in their active muscles are recruited. These findings are best explained by the action of a central (brain) neural control that regulates performance in the marathon 'in anticipation' specifically to prevent biological harm.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
United States 3 1%
Brazil 2 <1%
France 1 <1%
Unknown 230 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 42 18%
Student > Ph. D. Student 37 15%
Student > Bachelor 33 14%
Researcher 26 11%
Other 13 5%
Other 57 24%
Unknown 32 13%
Readers by discipline Count As %
Sports and Recreations 116 48%
Agricultural and Biological Sciences 28 12%
Medicine and Dentistry 25 10%
Psychology 7 3%
Nursing and Health Professions 6 3%
Other 19 8%
Unknown 39 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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 10 July 2023.
All research outputs
#970,956
of 25,371,288 outputs
Outputs from Sports Medicine
#856
of 2,875 outputs
Outputs of similar age
#7,252
of 285,935 outputs
Outputs of similar age from Sports Medicine
#78
of 525 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,875 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.8. This one has gotten more attention than average, scoring higher than 70% 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 285,935 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 97% of its contemporaries.
We're also able to compare this research output to 525 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.