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Dove Medical Press

Anthropometric factors related to sprint and agility performance in young male soccer players

Overview of attention for article published in Open Access Journal of Sports Medicine, November 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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8 X users
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149 Mendeley
Title
Anthropometric factors related to sprint and agility performance in young male soccer players
Published in
Open Access Journal of Sports Medicine, November 2015
DOI 10.2147/oajsm.s91689
Pubmed ID
Authors

Gunnar Mathisen, Svein Arne Pettersen

Abstract

To investigate the relationship between anthropometrics and sprint and agility performance and describe the development of sprint (acceleration) and agility performance in 10- to 16-year-old male soccer players. One hundred and thirty-two participants were divided into three age groups, 10-12 years (mean 10.8±0.50), 13-14 years (mean 13.9±0.50), and 15-16 years (mean 15.5±0.24), with assessment of 20 m sprint with 10 m split time and agility performance related to body height and body mass within groups. In the 10- to 12-year-olds, there were no significant correlations between height, weight, and the performance variables, except for body mass, which was correlated to 10-20 m sprint (r=0.30). In the 13- to 14-year-olds, body height was significantly correlated with 10 m sprint (r=0.50) and 20 m sprint (r=0.52), as well as 10-20 m sprint (r=0.50) and agility performance (r=0.28). In the 15- to 16-year-old group, body height was correlated to 20 m (r=0.38) and 10-20 m (r=0.45) sprint. Body mass was significantly correlated to 10 m spring (r=0.35) in the 13- to 14-year-olds, as well as 20 m (r=0.33) and 10-20 m (r=0.35) sprint in the 15- to 16-year-olds. Height and body mass were significantly correlated with sprint performance in 13- to 16-year-old male soccer players. However, the 10- to 12-year-olds showed no significant relationship between sprint performance and anthropometrics, except for a small correlation in 10-20 m sprint. This may be attributed to maturation, with large differences in body height and body mass due to different patterns in the growth spurt. The agility performance related to anthropometrics was insignificant apart from a moderate correlation in the 13- to 14-year-olds.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 149 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 148 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 25 17%
Student > Master 24 16%
Student > Ph. D. Student 11 7%
Researcher 7 5%
Student > Doctoral Student 5 3%
Other 23 15%
Unknown 54 36%
Readers by discipline Count As %
Sports and Recreations 69 46%
Nursing and Health Professions 6 4%
Medicine and Dentistry 5 3%
Unspecified 4 3%
Decision Sciences 2 1%
Other 9 6%
Unknown 54 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 17 January 2016.
All research outputs
#6,325,104
of 25,374,917 outputs
Outputs from Open Access Journal of Sports Medicine
#103
of 260 outputs
Outputs of similar age
#72,983
of 294,815 outputs
Outputs of similar age from Open Access Journal of Sports Medicine
#1
of 5 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 260 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.6. This one has gotten more attention than average, scoring higher than 60% 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 294,815 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 75% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them