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A multidimensional approach to talent identification and selection in high-level youth Australian Football players

Overview of attention for article published in Journal of Sports Sciences, April 2018
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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230 Mendeley
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Article details
Title
A multidimensional approach to talent identification and selection in high-level youth Australian Football players
Published in
Journal of Sports Sciences, April 2018
DOI 10.1080/02640414.2018.1468301
Pubmed ID
Authors
Abstract

There is limited research in talent identification in youth Australian Football (AF), especially the factors that underpin selection into higher-level development programs. Therefore, this study explored age-related differences in high-level youth AF players and investigated characteristics influencing selection into a high-level development program. Anthropometry (stature, sitting height, body mass), maturity (estimated age at peak height velocity), motor competence (Körperkoordinationstest für Kinder), fitness (change of direction speed, lower body power and upper body muscular endurance) and coach skill ratings (kicking, marking and handballing) of 277 state academy players (U13-U15) were assessed. MANOVAs identified significant age-related differences for anthropometry, fitness, and coach skill ratings. Furthermore, 90.9 and 90.0% of U15 selected and deselected players were classified correctly. Selected players were more mature, taller, heavier, more explosive, faster at changing directions, and had superior kick technique and marking results. These results demonstrate considerable age-group performance outcome differences, highlighting that high-level academies should aim to select or deselect after 15 years of age. Additionally, it appears earlier maturing players are favoured for selection into a high-level academy. While practitioners must consider the confounding effect of maturation, early maturing players may be favoured for their ability to withstand increasing demands in higher-level youth AF.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 230 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 230 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 34 15%
Student > Ph. D. Student 30 13%
Student > Bachelor 22 10%
Researcher 16 7%
Student > Postgraduate 10 4%
Other 23 10%
Unknown 95 41%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 98 43%
Nursing and Health Professions 5 2%
Psychology 5 2%
Social Sciences 4 2%
Neuroscience 3 1%
Other 13 6%
Unknown 102 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 27 January 2019.
All research outputs
#2,110,965
of 27,057,185 outputs
Outputs from Journal of Sports Sciences
#835
of 4,252 outputs
Outputs of similar age
#41,153
of 343,842 outputs
Outputs of similar age from Journal of Sports Sciences
#19
of 73 outputs
Altmetric has tracked 27,057,185 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,252 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.2. This one has done well, scoring higher than 80% 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 343,842 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 73 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.