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Body composition characteristics of elite Australian rugby union athletes according to playing position and ethnicity

Overview of attention for article published in Journal of Sports Sciences, January 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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37 X users
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135 Mendeley
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Article details
Title
Body composition characteristics of elite Australian rugby union athletes according to playing position and ethnicity
Published in
Journal of Sports Sciences, January 2015
DOI 10.1080/02640414.2014.977937
Pubmed ID
Authors
Abstract

Abstract This study describes the body composition traits of modern-day elite rugby union athletes according to playing position and ethnicity. Thirty-seven international Australian rugby athletes of Caucasian and Polynesian descent undertook body composition assessment using dual-energy X-ray absorptiometry and surface anthropometry. Forwards were significantly taller, heavier and had a greater total fat mass and lean mass than backs. Backs displayed a higher percentage lean mass and lower sum of seven skinfolds and percentage fat mass. While no whole body composition differences were seen between ethnicities, significant regional differences were observed. In the periphery (arm and leg) regions, Polynesians had a greater proportion of fat mass (53.1% vs. 51.3%, P = 0.052, d = 0.5) and lean mass (49.7% vs. 48.6%, P = 0.040, d = 0.9), while in the trunk region a lower proportion of fat mass (37.2% vs. 39.5%, P = 0.019, d = 0.7) and lean mass (45.6% vs. 46.8%, P = 0.020, d = 1.1). Significant differences were also seen between Caucasian and Polynesian forwards in leg lean mass (31.4 kg vs. 35.9 kg, P = 0.014, d = 2.4) and periphery lean mass (43.8 kg vs. 49.6 kg, P = 0.022, d = 2.4). Elite Polynesian rugby athletes have different distribution patterns of fat mass and lean mass compared to Caucasians, which may influence their suitability for particular positions.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 37 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 25 19%
Student > Bachelor 21 16%
Student > Ph. D. Student 10 7%
Student > Postgraduate 9 7%
Researcher 8 6%
Other 17 13%
Unknown 45 33%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 56 41%
Nursing and Health Professions 10 7%
Agricultural and Biological Sciences 7 5%
Medicine and Dentistry 7 5%
Social Sciences 3 2%
Other 7 5%
Unknown 45 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 36. 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 18 August 2020.
All research outputs
#1,351,109
of 32,440,278 outputs
Outputs from Journal of Sports Sciences
#455
of 4,594 outputs
Outputs of similar age
#14,993
of 397,312 outputs
Outputs of similar age from Journal of Sports Sciences
#12
of 98 outputs
Altmetric has tracked 32,440,278 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,594 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.3. This one has done particularly well, scoring higher than 90% 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 397,312 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 96% 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 has done well, scoring higher than 87% of its contemporaries.