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Machine Learning to Predict Lower Extremity Musculoskeletal Injury Risk in Student Athletes

Overview of attention for article published in Frontiers in Sports and Active Living, November 2020
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
20 X users

Citations

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8 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Machine Learning to Predict Lower Extremity Musculoskeletal Injury Risk in Student Athletes
Published in
Frontiers in Sports and Active Living, November 2020
DOI 10.3389/fspor.2020.576655
Pubmed ID
Authors

Maria Henriquez, Jacob Sumner, Mallory Faherty, Timothy Sell, Brinnae Bent

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 15%
Student > Ph. D. Student 3 9%
Researcher 2 6%
Student > Doctoral Student 1 3%
Other 1 3%
Other 2 6%
Unknown 20 59%
Readers by discipline Count As %
Sports and Recreations 5 15%
Nursing and Health Professions 3 9%
Medicine and Dentistry 2 6%
Computer Science 1 3%
Mathematics 1 3%
Other 2 6%
Unknown 20 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 20 October 2022.
All research outputs
#2,663,026
of 25,844,183 outputs
Outputs from Frontiers in Sports and Active Living
#287
of 1,803 outputs
Outputs of similar age
#71,256
of 528,124 outputs
Outputs of similar age from Frontiers in Sports and Active Living
#18
of 81 outputs
Altmetric has tracked 25,844,183 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,803 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one has done well, scoring higher than 84% 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 528,124 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 86% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.