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Maturity-associated variation in the growth and functional capacities of youth football (soccer) players 13–15 years

Overview of attention for article published in European Journal of Applied Physiology, November 2003
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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16 X users

Citations

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357 Dimensions

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504 Mendeley
Title
Maturity-associated variation in the growth and functional capacities of youth football (soccer) players 13–15 years
Published in
European Journal of Applied Physiology, November 2003
DOI 10.1007/s00421-003-0995-z
Pubmed ID
Authors

Robert M. Malina, Joey C. Eisenmann, Sean P. Cumming, Basil Ribeiro, João Aroso

Abstract

The objective was to estimate the contribution of experience, body size and maturity status to variation in the functional capacities of adolescent football (soccer) players. The sample included 69 players 13.2-15.1 years of age from three clubs which competed in the highest division for their age group in the first Portuguese national division. Height and weight were measured and stage of pubic hair development was assessed at clinical examination. The number of years of experience in football was obtained at interview. Three tests of functional capacity were administered: 30-m dash (running speed), vertical jump (explosive power) and a yo-yo intermittent endurance test (aerobic resistance). Multiple linear regression analysis was used to estimate the relative contributions of age, stage of sexual maturity, height, weight and years of formal training in football to the three indicators of functional capacity. Stage of puberty, body size and years of training accounted for 21% to 50% of the variance in the three tasks. Sexual maturity status was the primary contributor to the variance in the intermittent shuttle run, whereas weight and height were the primary contributors to the explained variance in the 30-m dash and vertical jump, respectively. In conclusion, biological maturity status significantly influences the functional capacity of adolescent football players 13-15 years of age. Training is a significant contributor to aerobic resistance, whereas weight and height are significant contributors to the sprint and vertical jump, respectively.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 504 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 4 <1%
Brazil 4 <1%
United Kingdom 3 <1%
Qatar 2 <1%
Estonia 1 <1%
Netherlands 1 <1%
Spain 1 <1%
Venezuela, Bolivarian Republic of 1 <1%
Unknown 487 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 83 16%
Student > Ph. D. Student 78 15%
Student > Bachelor 56 11%
Researcher 33 7%
Student > Postgraduate 28 6%
Other 104 21%
Unknown 122 24%
Readers by discipline Count As %
Sports and Recreations 256 51%
Medicine and Dentistry 32 6%
Nursing and Health Professions 17 3%
Social Sciences 16 3%
Agricultural and Biological Sciences 9 2%
Other 32 6%
Unknown 142 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 14 February 2023.
All research outputs
#3,132,524
of 25,374,647 outputs
Outputs from European Journal of Applied Physiology
#957
of 4,345 outputs
Outputs of similar age
#8,077
of 142,417 outputs
Outputs of similar age from European Journal of Applied Physiology
#4
of 24 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 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,345 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done well, scoring higher than 77% 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 142,417 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 94% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.