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Factors affecting the energy cost of level running at submaximal speed

Overview of attention for article published in European Journal of Applied Physiology, February 2015
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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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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32 X users
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1 YouTube creator

Citations

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77 Dimensions

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275 Mendeley
Title
Factors affecting the energy cost of level running at submaximal speed
Published in
European Journal of Applied Physiology, February 2015
DOI 10.1007/s00421-015-3115-y
Pubmed ID
Authors

Jean-René Lacour, Muriel Bourdin

Abstract

Metabolic measurement is still the criterion for investigation of the efficiency of mechanical work and for analysis of endurance performance in running. Metabolic demand may be expressed either as the energy spent per unit distance (energy cost of running, C r) or as energy demand at a given running speed (running economy). Systematic studies showed a range of costs of about 20 % between runners. Factors affecting C r include body dimensions: body mass and leg architecture, mostly calcaneal tuberosity length, responsible for 60-80 % of the variability. Children show a higher C r than adults. Higher resting metabolism and lower leg length/stature ratio are the main putative factors responsible for the difference. Elastic energy storage and reuse also contribute to the variability of C r. The increase in C r with increasing running speed due to increase in mechanical work is blunted till 6-7 m s(-1) by the increase in vertical stiffness and the decrease in ground contact time. Fatigue induced by prolonged or intense running is associated with up to 10 % increased C r; the contribution of metabolic and biomechanical factors remains unclear. Women show a C r similar to men of similar body mass, despite differences in gait pattern. The superiority of black African runners is presumably related to their leg architecture and better elastic energy storage and reuse.

X Demographics

X Demographics

The data shown below were collected from the profiles of 32 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 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Malaysia 1 <1%
Brazil 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Belgium 1 <1%
Unknown 268 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 57 21%
Student > Bachelor 36 13%
Student > Ph. D. Student 35 13%
Researcher 27 10%
Student > Doctoral Student 17 6%
Other 48 17%
Unknown 55 20%
Readers by discipline Count As %
Sports and Recreations 132 48%
Medicine and Dentistry 21 8%
Engineering 13 5%
Agricultural and Biological Sciences 8 3%
Nursing and Health Professions 5 2%
Other 21 8%
Unknown 75 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 25 February 2020.
All research outputs
#1,953,483
of 25,602,335 outputs
Outputs from European Journal of Applied Physiology
#628
of 4,373 outputs
Outputs of similar age
#27,622
of 370,677 outputs
Outputs of similar age from European Journal of Applied Physiology
#12
of 50 outputs
Altmetric has tracked 25,602,335 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,373 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 85% 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 370,677 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 92% of its contemporaries.
We're also able to compare this research output to 50 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.