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 |
Risk Factors for Injury in Subelite Rugby League Players
|
|---|---|
| Published in |
The American Journal of Sports Medicine, August 2017
|
| DOI | 10.1177/0363546504268407 |
| Pubmed ID | |
| Authors |
Tim J. Gabbett, Nathan Domrow |
| Abstract |
Although player fatigue and playing intensity have been suggested to contribute to injuries in rugby league players, no study has confirmed if the level of physical fitness is a risk factor for injury in rugby league players. The aim of this study was to identify risk factors for injury in subelite rugby league players. Low physical fitness levels are risk factors for injury in subelite rugby league players. Cohort study; Level of evidence, 2. One hundred fifty-three players from a subelite rugby league club underwent preseason measurements of muscular power (vertical jump), speed (10- and 40-m sprint), and maximal aerobic power (multistage fitness test) over 4 competitive seasons. All injuries sustained by players were prospectively recorded over the 4 competitive seasons. The risk of injury was greater in players with low 10- and 40-m speed. Players with a low maximal aerobic power had a greater risk of sustaining a contact injury. In addition, players who completed less than 18 weeks of training before sustaining their initial injuries were at greater risk of sustaining a subsequent injury. Subelite rugby league players with low speed and maximal aerobic power are at an increased risk of injury. In addition, players who complete less than 18 weeks of training before sustaining an initial injury are at greater risk of sustaining a subsequent injury. These findings highlight the importance of speed and endurance training to reduce the incidence of injury in subelite rugby league players. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 4 | 1% |
| Netherlands | 1 | <1% |
| Brazil | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 271 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 51 | 18% |
| Student > Bachelor | 48 | 17% |
| Student > Ph. D. Student | 36 | 13% |
| Student > Postgraduate | 30 | 11% |
| Researcher | 18 | 6% |
| Other | 39 | 14% |
| Unknown | 57 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 119 | 43% |
| Medicine and Dentistry | 42 | 15% |
| Nursing and Health Professions | 22 | 8% |
| Social Sciences | 8 | 3% |
| Agricultural and Biological Sciences | 5 | 2% |
| Other | 14 | 5% |
| Unknown | 69 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 September 2016.
All research outputs
#15,361,255
of 22,851,489 outputs
Outputs from The American Journal of Sports Medicine
#4,300
of 5,380 outputs
Outputs of similar age
#197,202
of 315,155 outputs
Outputs of similar age from The American Journal of Sports Medicine
#525
of 630 outputs
Altmetric has tracked 22,851,489 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,380 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.0. This one is in the 12th percentile – i.e., 12% 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 315,155 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 630 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.