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A machine learning approach to identify risk factors for running-related injuries: study protocol for a prospective longitudinal cohort trial

Overview of attention for article published in BMC Sports Science, Medicine and Rehabilitation, April 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
7 X users

Citations

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10 Dimensions

Readers on

mendeley
70 Mendeley
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Title
A machine learning approach to identify risk factors for running-related injuries: study protocol for a prospective longitudinal cohort trial
Published in
BMC Sports Science, Medicine and Rehabilitation, April 2022
DOI 10.1186/s13102-022-00426-0
Pubmed ID
Authors

A. L. Rahlf, T. Hoenig, J. Stürznickel, K. Cremans, D. Fohrmann, A. Sanchez-Alvarado, T. Rolvien, K. Hollander

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 12 17%
Student > Master 6 9%
Other 5 7%
Student > Ph. D. Student 4 6%
Lecturer > Senior Lecturer 3 4%
Other 11 16%
Unknown 29 41%
Readers by discipline Count As %
Unspecified 12 17%
Sports and Recreations 8 11%
Medicine and Dentistry 4 6%
Agricultural and Biological Sciences 2 3%
Business, Management and Accounting 2 3%
Other 11 16%
Unknown 31 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 January 2023.
All research outputs
#6,048,961
of 24,133,587 outputs
Outputs from BMC Sports Science, Medicine and Rehabilitation
#181
of 544 outputs
Outputs of similar age
#117,021
of 431,341 outputs
Outputs of similar age from BMC Sports Science, Medicine and Rehabilitation
#12
of 36 outputs
Altmetric has tracked 24,133,587 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 544 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has gotten more attention than average, scoring higher than 66% 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 431,341 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 72% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.