| Title |
Current Approaches to the Use of Artificial Intelligence for Injury Risk Assessment and Performance Prediction in Team Sports: a Systematic Review
|
|---|---|
| Published in |
Sports Medicine - Open, July 2019
|
| DOI | 10.1186/s40798-019-0202-3 |
| Pubmed ID | |
| Authors |
João Gustavo Claudino, Daniel de Oliveira Capanema, Thiago Vieira de Souza, Julio Cerca Serrão, Adriano C. Machado Pereira, George P. Nassis |
X Demographics
The data shown below were collected from the profiles of 159 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 | 23 | 14% |
| United Kingdom | 14 | 9% |
| Brazil | 7 | 4% |
| India | 7 | 4% |
| Spain | 6 | 4% |
| France | 4 | 3% |
| Australia | 4 | 3% |
| Sweden | 3 | 2% |
| Mexico | 3 | 2% |
| Other | 35 | 22% |
| Unknown | 53 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 99 | 62% |
| Scientists | 42 | 26% |
| Practitioners (doctors, other healthcare professionals) | 14 | 9% |
| Science communicators (journalists, bloggers, editors) | 4 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 490 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 490 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 56 | 11% |
| Student > Ph. D. Student | 55 | 11% |
| Student > Bachelor | 47 | 10% |
| Researcher | 31 | 6% |
| Student > Doctoral Student | 23 | 5% |
| Other | 75 | 15% |
| Unknown | 203 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 103 | 21% |
| Computer Science | 36 | 7% |
| Medicine and Dentistry | 25 | 5% |
| Engineering | 21 | 4% |
| Nursing and Health Professions | 18 | 4% |
| Other | 66 | 13% |
| Unknown | 221 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 107. 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 April 2024.
All research outputs
#397,480
of 25,653,515 outputs
Outputs from Sports Medicine - Open
#32
of 608 outputs
Outputs of similar age
#8,112
of 363,409 outputs
Outputs of similar age from Sports Medicine - Open
#1
of 19 outputs
Altmetric has tracked 25,653,515 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 608 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done particularly well, scoring higher than 94% 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 363,409 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 19 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 94% of its contemporaries.