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The Use of Fitness-Fatigue Models for Sport Performance Modelling: Conceptual Issues and Contributions from Machine-Learning

Overview of attention for article published in Sports Medicine - Open, March 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

twitter
3 X users

Citations

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5 Dimensions

Readers on

mendeley
53 Mendeley
Title
The Use of Fitness-Fatigue Models for Sport Performance Modelling: Conceptual Issues and Contributions from Machine-Learning
Published in
Sports Medicine - Open, March 2022
DOI 10.1186/s40798-022-00426-x
Pubmed ID
Authors

Frank Imbach, Nicolas Sutton-Charani, Jacky Montmain, Robin Candau, Stéphane Perrey

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 11%
Researcher 4 8%
Student > Ph. D. Student 4 8%
Lecturer 3 6%
Other 3 6%
Other 7 13%
Unknown 26 49%
Readers by discipline Count As %
Sports and Recreations 12 23%
Engineering 3 6%
Medicine and Dentistry 2 4%
Arts and Humanities 1 2%
Mathematics 1 2%
Other 7 13%
Unknown 27 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 04 March 2022.
All research outputs
#13,650,896
of 23,269,984 outputs
Outputs from Sports Medicine - Open
#399
of 487 outputs
Outputs of similar age
#189,986
of 440,991 outputs
Outputs of similar age from Sports Medicine - Open
#35
of 42 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 487 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.9. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 440,991 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.