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Predicting injury risk using machine learning in male youth soccer players

Overview of attention for article published in Chaos, Solitons & Fractals, February 2023
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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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
16 X users

Citations

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2 Dimensions

Readers on

mendeley
56 Mendeley
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Title
Predicting injury risk using machine learning in male youth soccer players
Published in
Chaos, Solitons & Fractals, February 2023
DOI 10.1016/j.chaos.2022.113079
Authors

Francisco Javier Robles-Palazón, José M. Puerta-Callejón, José A. Gámez, Mark De Ste Croix, Antonio Cejudo, Fernando Santonja, Pilar Sainz de Baranda, Francisco Ayala

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 9%
Student > Bachelor 5 9%
Researcher 3 5%
Unspecified 3 5%
Other 2 4%
Other 5 9%
Unknown 33 59%
Readers by discipline Count As %
Sports and Recreations 7 13%
Unspecified 3 5%
Medicine and Dentistry 3 5%
Nursing and Health Professions 2 4%
Engineering 2 4%
Other 5 9%
Unknown 34 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 08 June 2023.
All research outputs
#3,333,629
of 25,392,582 outputs
Outputs from Chaos, Solitons & Fractals
#73
of 1,553 outputs
Outputs of similar age
#67,646
of 471,974 outputs
Outputs of similar age from Chaos, Solitons & Fractals
#4
of 56 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,553 research outputs from this source. They receive a mean Attention Score of 3.8. 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 471,974 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 56 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 92% of its contemporaries.