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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Match Intensity and Pacing Strategies in Rugby League
|
|---|---|
| Published in |
Journal of Strength & Conditioning Research, June 2014
|
| DOI | 10.1519/jsc.0b013e3182a4a225 |
| Pubmed ID | |
| Authors |
Georgia M. Black, Tim J. Gabbett |
| Abstract |
Black, GM and Gabbett, TJ. Match intensity and pacing strategies in rugby league: An examination of whole-game and interchanged players, and winning and losing teams. J Strength Cond Res 28(6): 1507-1516, 2014-There is currently limited information on whether pacing occurs during rugby league match play. In addition, to date no research has investigated whether pacing strategies differ between winning and losing teams. This study investigated the pacing strategies of whole-game and interchanged rugby league players. Furthermore, we investigated the pacing strategies of winning and losing teams. Fifty-two rugby league players, from a sample of 11 teams competing in a semi-elite competition, underwent global positioning system analysis. Performances were divided into match quartiles for whole-game and interchanged players. Total distance, including low- and high-speed distances, and repeated high-intensity effort bouts were recorded. The total distance and low-speed distance covered across all quartiles of the match, but specifically quartiles 1 and 8, were greater for interchanged players than whole-game players. The match outcome differentially affected the pacing strategies of whole-game and interchanged players. Whole-game players from winning teams set a higher pacing strategy than whole-game players from losing teams (effect size [ES] = 1.03 ± 0.77, 96%, very likely), whereas interchanged players from losing teams demonstrated a greater "end-spurt" than interchanged players from winning teams (ES = 0.60 ± 0.52, 96%, very likely). The pacing strategies of interchanged players were higher than whole-game players, irrespective of playing position. The results of this study suggest that pacing strategies differ between interchanged and whole-game rugby league players. Furthermore, our results demonstrate a different pacing strategy between winning and losing teams. These findings suggest that physical preparation for rugby league matches, and recovery from these matches, should be individualized for whole-game and interchanged players. Finally, performing physically intense training on a regular basis is likely to develop the physical and mental qualities required to regularly compete at higher playing intensities. |
X Demographics
The data shown below were collected from the profiles of 19 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 | 4 | 21% |
| Australia | 3 | 16% |
| Canada | 2 | 11% |
| France | 1 | 5% |
| Spain | 1 | 5% |
| United States | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 6 | 32% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 63% |
| Scientists | 4 | 21% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| French Polynesia | 1 | 1% |
| Unknown | 90 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 23% |
| Student > Ph. D. Student | 10 | 11% |
| Student > Bachelor | 7 | 8% |
| Researcher | 7 | 8% |
| Student > Postgraduate | 5 | 5% |
| Other | 11 | 12% |
| Unknown | 30 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 42 | 46% |
| Nursing and Health Professions | 6 | 7% |
| Medicine and Dentistry | 2 | 2% |
| Social Sciences | 2 | 2% |
| Agricultural and Biological Sciences | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 34 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 30 June 2014.
All research outputs
#2,755,560
of 25,374,647 outputs
Outputs from Journal of Strength & Conditioning Research
#2,146
of 6,666 outputs
Outputs of similar age
#26,791
of 240,961 outputs
Outputs of similar age from Journal of Strength & Conditioning Research
#49
of 98 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,666 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 gotten more attention than average, scoring higher than 67% 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 240,961 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.