| Title |
Machine learning methods in sport injury prediction and prevention: a systematic review
|
|---|---|
| Published in |
Journal of Experimental Orthopaedics, April 2021
|
| DOI | 10.1186/s40634-021-00346-x |
| Pubmed ID | |
| Authors |
Hans Van Eetvelde, Luciana D. Mendonça, Christophe Ley, Romain Seil, Thomas Tischer |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 25% |
| Canada | 2 | 10% |
| Luxembourg | 2 | 10% |
| United Kingdom | 1 | 5% |
| Germany | 1 | 5% |
| Belgium | 1 | 5% |
| Unknown | 8 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 95% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 268 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 10% |
| Student > Ph. D. Student | 23 | 9% |
| Researcher | 19 | 7% |
| Student > Bachelor | 15 | 6% |
| Lecturer | 11 | 4% |
| Other | 47 | 18% |
| Unknown | 127 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 39 | 15% |
| Medicine and Dentistry | 16 | 6% |
| Computer Science | 16 | 6% |
| Engineering | 13 | 5% |
| Nursing and Health Professions | 9 | 3% |
| Other | 37 | 14% |
| Unknown | 138 | 51% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 21 February 2024.
All research outputs
#1,744,404
of 25,545,162 outputs
Outputs from Journal of Experimental Orthopaedics
#18
of 440 outputs
Outputs of similar age
#46,463
of 456,014 outputs
Outputs of similar age from Journal of Experimental Orthopaedics
#1
of 18 outputs
Altmetric has tracked 25,545,162 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 440 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 96% 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 456,014 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 89% of its contemporaries.
We're also able to compare this research output to 18 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 99% of its contemporaries.