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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Low chronic workload and the acute:chronic workload ratio are more predictive of injury than between-match recovery time: a two-season prospective cohort study in elite rugby league players
|
|---|---|
| Published in |
British Journal of Sports Medicine, February 2016
|
| DOI | 10.1136/bjsports-2015-095364 |
| Pubmed ID | |
| Authors |
Billy T Hulin, Tim J Gabbett, Peter Caputi, Daniel W Lawson, John A Sampson |
| Abstract |
Between-match recovery time, and acute and chronic workloads likely affect subsequent match-injury risk in elite rugby league players. Workloads of 28 players throughout two seasons were calculated during short (<7 days), and long (≥7 days) between-match recovery times. 'Acute' workloads (1 week) greater than 'chronic' workloads (4-week rolling average acute workload) resulted in acute:chronic workload ratios above 1. No difference was found between the match-injury risk of short and long between-match recovery periods (7.5±2.5% vs 6.8±2.5%). When players had a short recovery between matches, high chronic workloads (18.9-22.0 km) were associated with a smaller risk of match injury than chronic workloads <18.9 km (relative risk (RR) range 0.27-0.32 (CI 0.08 to 0.92); likelihood range 90-95%, likely). Players who had shorter recovery and acute:chronic workload ratios ≥1.6, were 3.4-5.8 times likely to sustain a match injury than players with lower acute:chronic workload ratios (RR range 3.41-5.80 (CI 1.17 to 19.2); likelihood range 96-99%, very likely). Acute:chronic workload ratios between 1.2 and 1.6 during short between-match recovery times demonstrated a greater risk of match injury than ratios between 1.0 and 1.2 (RR=2.88 (CI 0.97 to 8.55); likelihood=92%, likely). Contrary to the philosophy that high workloads and shorter recovery equate to increased injury risk, our data suggest that high and very-high chronic workloads may protect against match injury following shorter between-match recovery periods. Acute:chronic workload ratios ∼1.5 are associated with a greater risk of match injury than lower acute:chonic workload ratios. Importantly, workloads can be manipulated to decrease the match-injury risk associated with shorter recovery time between matches. |
X Demographics
The data shown below were collected from the profiles of 78 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 | 15 | 19% |
| United States | 12 | 15% |
| Australia | 7 | 9% |
| Canada | 4 | 5% |
| Spain | 4 | 5% |
| Ireland | 3 | 4% |
| Italy | 1 | 1% |
| France | 1 | 1% |
| Monaco | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 26 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 58 | 74% |
| Scientists | 12 | 15% |
| Practitioners (doctors, other healthcare professionals) | 7 | 9% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 440 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| New Zealand | 1 | <1% |
| Spain | 1 | <1% |
| Austria | 1 | <1% |
| Unknown | 436 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 102 | 23% |
| Student > Bachelor | 63 | 14% |
| Student > Ph. D. Student | 47 | 11% |
| Researcher | 34 | 8% |
| Other | 29 | 7% |
| Other | 90 | 20% |
| Unknown | 75 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 229 | 52% |
| Medicine and Dentistry | 54 | 12% |
| Nursing and Health Professions | 33 | 8% |
| Agricultural and Biological Sciences | 10 | 2% |
| Social Sciences | 7 | 2% |
| Other | 20 | 5% |
| Unknown | 87 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 71. 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 October 2022.
All research outputs
#579,958
of 24,777,509 outputs
Outputs from British Journal of Sports Medicine
#1,196
of 6,413 outputs
Outputs of similar age
#10,946
of 407,941 outputs
Outputs of similar age from British Journal of Sports Medicine
#24
of 113 outputs
Altmetric has tracked 24,777,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,413 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.8. This one has done well, scoring higher than 81% 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 407,941 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 113 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.