You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The acute:chronic workload ratio predicts injury: high chronic workload may decrease injury risk in elite rugby league players
|
|---|---|
| Published in |
British Journal of Sports Medicine, October 2015
|
| DOI | 10.1136/bjsports-2015-094817 |
| Pubmed ID | |
| Authors |
Billy T Hulin, Tim J Gabbett, Daniel W Lawson, Peter Caputi, John A Sampson |
| Abstract |
Investigate whether acute workload (1 week total distance) and chronic workload (4-week average acute workload) predict injury in elite rugby league players. Data were collected from 53 elite players over two rugby league seasons. The 'acute:chronic workload ratio' was calculated by dividing acute workload by chronic workload. A value of greater than 1 represented an acute workload greater than chronic workload. All workload data were classified into discrete ranges by z-scores. Compared with all other ratios, a very-high acute:chronic workload ratio (≥2.11) demonstrated the greatest risk of injury in the current week (16.7% injury risk) and subsequent week (11.8% injury risk). High chronic workload (>16 095 m) combined with a very-high 2-week average acute:chronic workload ratio (≥1.54) was associated with the greatest risk of injury (28.6% injury risk). High chronic workload combined with a moderate workload ratio (1.02-1.18) had a smaller risk of injury than low chronic workload combined with several workload ratios (relative risk range from 0.3 to 0.7×/÷1.4 to 4.4; likelihood range=88-94%, likely). Considering acute and chronic workloads in isolation (ie, not as ratios) did not consistently predict injury risk. Higher workloads can have either positive or negative influences on injury risk in elite rugby league players. Specifically, compared with players who have a low chronic workload, players with a high chronic workload are more resistant to injury with moderate-low through moderate-high (0.85-1.35) acute:chronic workload ratios and less resistant to injury when subjected to 'spikes' in acute workload, that is, very-high acute:chronic workload ratios ∼1.5. |
X Demographics
The data shown below were collected from the profiles of 167 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 | 30 | 18% |
| United States | 20 | 12% |
| Australia | 19 | 11% |
| Ireland | 6 | 4% |
| Spain | 5 | 3% |
| Netherlands | 5 | 3% |
| Canada | 3 | 2% |
| Switzerland | 3 | 2% |
| South Africa | 3 | 2% |
| Other | 18 | 11% |
| Unknown | 55 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 114 | 68% |
| Scientists | 36 | 22% |
| Practitioners (doctors, other healthcare professionals) | 16 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | <1% |
| Qatar | 2 | <1% |
| Austria | 1 | <1% |
| United Kingdom | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 1146 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 245 | 21% |
| Student > Bachelor | 168 | 15% |
| Student > Ph. D. Student | 126 | 11% |
| Other | 74 | 6% |
| Researcher | 70 | 6% |
| Other | 208 | 18% |
| Unknown | 265 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 547 | 47% |
| Nursing and Health Professions | 106 | 9% |
| Medicine and Dentistry | 104 | 9% |
| Agricultural and Biological Sciences | 21 | 2% |
| Social Sciences | 17 | 1% |
| Other | 72 | 6% |
| Unknown | 289 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 130. 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 31 December 2023.
All research outputs
#316,008
of 25,262,379 outputs
Outputs from British Journal of Sports Medicine
#687
of 6,466 outputs
Outputs of similar age
#4,438
of 291,763 outputs
Outputs of similar age from British Journal of Sports Medicine
#23
of 99 outputs
Altmetric has tracked 25,262,379 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 6,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 67.3. This one has done well, scoring higher than 89% 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 291,763 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 98% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.