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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Accelerometer and GPS-Derived Running Loads and Injury Risk in Elite Australian Footballers
|
|---|---|
| Published in |
Journal of Strength & Conditioning Research, August 2014
|
| DOI | 10.1519/jsc.0000000000000362 |
| Pubmed ID | |
| Authors |
Marcus J. Colby, Brian Dawson, Jarryd Heasman, Brent Rogalski, Tim J. Gabbett |
| Abstract |
The purpose of this study was to investigate the relationship between overall physical workload (GPS/accelerometer) measures and injury risk in elite Australian football players (n=46) during a season. Workload data and (intrinsic) injury incidence was monitored across pre-season and in-season (18 matches) phases. Multiple regression was used to compare cumulative (1-, 2-, 3-, 4-weekly loads) and absolute change (from previous-to-current week) in workloads between injured and uninjured players for all GPS/accelerometer-derived variables: total distance; V1 distance (total distance above individual's aerobic threshold speed); sprint distance; force load; velocity load and relative velocity change. Odds ratios (OR) were calculated to determine the relative injury risk. Cumulative loads showed the strongest relationship with greater intrinsic injury risk. During pre-season, 3-weekly distance (OR=5.489, p=0.008) and 3-weekly sprint distance (OR=3.667, p=0.074) were most indicative of greater injury risk. In-season, 3-weekly force load (OR=2.530, p=0.031) and 4-weekly relative velocity change (OR= 2.244, p=0.035) were associated with greater injury risk. No differences in injury risk between years of AFL system experience and GPS/accelerometer data were seen. From an injury risk (prevention) perspective, these findings support consideration of several GPS/accelerometer running load variables in Australian football players. In particular, cumulative weekly loads should be closely monitored, with 3-weekly loads most indicative of a greater injury risk across both seasonal phases. (224 words). |
X Demographics
The data shown below were collected from the profiles of 59 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 | 13 | 22% |
| Australia | 7 | 12% |
| United States | 5 | 8% |
| Ireland | 5 | 8% |
| Spain | 2 | 3% |
| Canada | 1 | 2% |
| Netherlands | 1 | 2% |
| France | 1 | 2% |
| Finland | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 23 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 42 | 71% |
| Scientists | 10 | 17% |
| Practitioners (doctors, other healthcare professionals) | 6 | 10% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 431 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | <1% |
| Spain | 3 | <1% |
| Portugal | 1 | <1% |
| Qatar | 1 | <1% |
| Australia | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 419 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 88 | 20% |
| Student > Ph. D. Student | 66 | 15% |
| Student > Bachelor | 64 | 15% |
| Researcher | 33 | 8% |
| Other | 23 | 5% |
| Other | 62 | 14% |
| Unknown | 95 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 205 | 48% |
| Medicine and Dentistry | 29 | 7% |
| Nursing and Health Professions | 26 | 6% |
| Social Sciences | 14 | 3% |
| Engineering | 14 | 3% |
| Other | 31 | 7% |
| Unknown | 112 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 58. 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 November 2017.
All research outputs
#727,251
of 25,366,663 outputs
Outputs from Journal of Strength & Conditioning Research
#473
of 6,662 outputs
Outputs of similar age
#6,772
of 236,617 outputs
Outputs of similar age from Journal of Strength & Conditioning Research
#14
of 106 outputs
Altmetric has tracked 25,366,663 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 6,662 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.2. This one has done particularly well, scoring higher than 92% 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 236,617 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 106 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.