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Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting

Overview of attention for article published in The American Journal of Sports Medicine, August 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
24 Mendeley
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Article details
Title
Optimizing Concussion Care Seeking: Using Machine Learning to Predict Delayed Concussion Reporting
Published in
The American Journal of Sports Medicine, August 2024
DOI 10.1177/03635465241259455
Pubmed ID
Authors

Emily Kroshus-Havril, Daniel D. Leeds, Thomas W. McAllister, Zachary Yukio Kerr, Kristen Knight, Johna K. Register-Mihalik, Robert C. Lynall, Christopher D’Lauro, Yuet Ho, Muhibur Rahman, Steven P. Broglio, Michael A. McCrea, Julianne D. Schmidt, CARE Consortium Investigators included:, Nicholas Port, Darren Campbell, Margot Putukian, Sara P.D. Chrisman, Kenneth L. Cameron, Adam James Susmarski, Joshua T. Goldman, Holly Benjamin, Thomas Buckley, Thomas Kaminski, James R. Clugston, Luis Feigenbaum, James T. Eckner, Jason P. Mihalik, Anthony Kontos, Jane McDevitt, M. Alison Brooks, Steve Rowson, Christopher Miles, Laura Lintner, Louise Kelly, Christina Master

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Timeline Attention over time Attention Score history
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Professor 3 13%
Other 2 8%
Student > Ph. D. Student 2 8%
Researcher 1 4%
Lecturer 1 4%
Other 2 8%
Unknown 13 54%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 2 8%
Sports and Recreations 2 8%
Medicine and Dentistry 2 8%
Engineering 2 8%
Unspecified 1 4%
Other 2 8%
Unknown 13 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2025.
All research outputs
#17,854,204
of 27,794,171 outputs
Outputs from The American Journal of Sports Medicine
#4,719
of 6,279 outputs
Outputs of similar age
#140,188
of 311,352 outputs
Outputs of similar age from The American Journal of Sports Medicine
#11
of 24 outputs
Altmetric has tracked 27,794,171 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one is in the 22nd percentile – i.e., 22% 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 311,352 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 52% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.