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Correlates of Tackling Ability in High-Performance Rugby League Players

Overview of attention for article published in Journal of Strength & Conditioning Research, January 2011
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Title
Correlates of Tackling Ability in High-Performance Rugby League Players
Published in
Journal of Strength & Conditioning Research, January 2011
DOI 10.1519/jsc.0b013e3181ff506f
Pubmed ID
Authors

Tim J Gabbett, David G Jenkins, Bruce Abernethy

Abstract

This study investigated the tackling ability of high-performance rugby league players and determined the relationship between physiological and anthropometric qualities and tackling ability in these athletes. Twenty professional (National Rugby League) and 17 semiprofessional (Queensland Cup) rugby league players underwent a standardized 1-on-1 tackling drill in a 10-m grid. Video footage was taken from the rear, side, and front of the defending player. Tackling proficiency was assessed using standardized technical criteria. In addition, all players underwent measurements of standard anthropometry (height, body mass, and sum of 7 skinfolds), acceleration (10-m sprint), change of direction speed (505 test), and lower body muscular power (vertical jump). Professional players had significantly greater (p ≤ 0.05) tackling proficiency than semiprofessional players (87.5 ± 2.0 vs. 75.0 ± 2.3%). Professional players were significantly (p ≤ 0.05) older, more experienced, leaner, and had greater acceleration than semiprofessional players. The strongest individual correlates of tackling ability were age (r = 0.41, p ≤ 0.05), playing experience (r = 0.70, p ≤ 0.01), skinfold thickness (r = -0.59, p ≤ 0.01), acceleration (r = 0.41, p ≤ 0.05), and lower body muscular power (r = 0.38, p ≤ 0.05). When hierarchical multiple regression analysis was performed to determine which of the variables predicted tackling ability, playing experience and lower body muscular power were the only variables that contributed significantly (r2 = 0.60, p ≤ 0.01) to the predictive model. From a practical perspective, strength and conditioning coaches should emphasize the development of acceleration, lower body muscular power, and lean muscle mass to improve tackling ability in high-performance rugby league players.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Serbia 1 <1%
Unknown 138 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 17%
Student > Bachelor 20 14%
Student > Ph. D. Student 13 9%
Researcher 11 8%
Student > Postgraduate 7 5%
Other 20 14%
Unknown 47 33%
Readers by discipline Count As %
Sports and Recreations 62 43%
Medicine and Dentistry 7 5%
Nursing and Health Professions 6 4%
Unspecified 5 3%
Agricultural and Biological Sciences 3 2%
Other 11 8%
Unknown 49 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 September 2015.
All research outputs
#16,048,318
of 25,374,917 outputs
Outputs from Journal of Strength & Conditioning Research
#5,347
of 6,666 outputs
Outputs of similar age
#148,220
of 190,479 outputs
Outputs of similar age from Journal of Strength & Conditioning Research
#45
of 69 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
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 is in the 17th percentile – i.e., 17% 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 190,479 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.