| Title |
Machine Learning for Understanding and Predicting Injuries in Football
|
|---|---|
| Published in |
Sports Medicine - Open, June 2022
|
| DOI | 10.1186/s40798-022-00465-4 |
| Pubmed ID | |
| Authors |
Aritra Majumdar, Rashid Bakirov, Dan Hodges, Suzanne Scott, Tim Rees |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 14% |
| Italy | 1 | 14% |
| United States | 1 | 14% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 57% |
| Members of the public | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 11% |
| Student > Bachelor | 7 | 9% |
| Student > Doctoral Student | 3 | 4% |
| Other | 3 | 4% |
| Researcher | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 44 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 9 | 12% |
| Medicine and Dentistry | 5 | 7% |
| Engineering | 4 | 5% |
| Computer Science | 2 | 3% |
| Nursing and Health Professions | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 45 | 60% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 10 January 2024.
All research outputs
#8,150,465
of 25,346,731 outputs
Outputs from Sports Medicine - Open
#423
of 589 outputs
Outputs of similar age
#149,806
of 439,289 outputs
Outputs of similar age from Sports Medicine - Open
#29
of 33 outputs
Altmetric has tracked 25,346,731 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 589 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.5. This one is in the 27th percentile – i.e., 27% 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 439,289 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 65% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.