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Physical characteristics of players within the Australian Football League participation pathways: a systematic review

Overview of attention for article published in Sports Medicine - Open, December 2017
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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 (71st percentile)

Mentioned by

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23 tweeters

Citations

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23 Dimensions

Readers on

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106 Mendeley
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Title
Physical characteristics of players within the Australian Football League participation pathways: a systematic review
Published in
Sports Medicine - Open, December 2017
DOI 10.1186/s40798-017-0109-9
Pubmed ID
Authors

Jade A. Z. Haycraft, Stephanie Kovalchik, David B. Pyne, Sam Robertson

Abstract

Australian football (AF) players require endurance, strength, speed, and agility to be successful. Tests assessing physical characteristics are commonly used for talent identification; however, their ability to differentiate between players across the Australian Football League's (AFL) participation pathway remains unclear. The objective of this review was to quantify the physical characteristics of male AF players across the AFL participation pathway. A search of databases was undertaken. Studies examining tests of physical performance were included, with 27 meeting the inclusion/exclusion criteria. Study appraisal was conducted using a checklist of selection criteria. The 20-m sprint time was the most reported test, followed by vertical jump (VJ), AFL planned agility, and 20-m multi-stage fitness test (MSFT). The fastest times for 20-m sprint were for Elite AFL players (range 2.94-3.13 s), with local-level players the slowest (3.22-4.06 s). State Junior Under (U) 18s (58-66 cm) had higher jumps than senior players, with the lowest jumps reported for Local U10s (mean 31 cm). No elite-level data were reported for the AFL planned agility or 20-m MSFT. AFL planned agility times were only reported for talent pathway levels, with large performance variability evident across all levels (8.17-9.12 s). Only mean 20-m MSFT scores were reported from Local U10s to National Draft Camp (6.10-13.50 shuttles). Talent pathway players exhibit similar mean test scores irrespective of the physical test, with the exception of 20-m sprint and VJ. Physical tests can discriminate between local participation level players but are less useful within the AFL talent pathway.

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 34 32%
Student > Master 20 19%
Student > Ph. D. Student 7 7%
Student > Doctoral Student 4 4%
Student > Postgraduate 4 4%
Other 10 9%
Unknown 27 25%
Readers by discipline Count As %
Sports and Recreations 37 35%
Nursing and Health Professions 18 17%
Medicine and Dentistry 8 8%
Psychology 2 2%
Biochemistry, Genetics and Molecular Biology 2 2%
Other 7 7%
Unknown 32 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 01 January 2018.
All research outputs
#1,307,477
of 15,962,710 outputs
Outputs from Sports Medicine - Open
#82
of 236 outputs
Outputs of similar age
#48,299
of 409,489 outputs
Outputs of similar age from Sports Medicine - Open
#11
of 38 outputs
Altmetric has tracked 15,962,710 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 236 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has gotten more attention than average, scoring higher than 65% 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 409,489 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 38 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 71% of its contemporaries.