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Risk factors for acute knee injury in female youth football

Overview of attention for article published in Knee Surgery, Sports Traumatology, Arthroscopy, December 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#20 of 2,929)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

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136 X users
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2 Facebook pages

Citations

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68 Dimensions

Readers on

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439 Mendeley
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Title
Risk factors for acute knee injury in female youth football
Published in
Knee Surgery, Sports Traumatology, Arthroscopy, December 2015
DOI 10.1007/s00167-015-3922-z
Pubmed ID
Authors

Martin Hägglund, Markus Waldén

Abstract

To prospectively evaluate risk factors for acute time-loss knee injury, in particular ACL injury, in female youth football players. Risk factors were studied in 4556 players aged 12-17 years from a randomised controlled trial during the 2009 season. Covariates were both intrinsic (body mass index, age, relative age effect, onset of menarche, previous acute knee injury or ACL injury, current knee complaints, and familial disposition of ACL injury) and extrinsic (no. of training sessions/week, no. of matches/week, match exposure ratio, match play with other teams, and artificial turf exposure). Hazard ratios (HRs) and 95 % confidence intervals (CIs) were calculated from individual variable and multiple Cox regression analyses. Ninety-six acute knee injuries were recorded, 21 of them ACL injuries. Multiple Cox regression showed a fourfold higher ACL injury rate for players with familial disposition of ACL injury (HR 3.57; 95 % CI 1.48-8.62). Significant predictor variables for acute knee injury were age >14 years (HR 1.97; 95 % CI 1.30-2.97), knee complaints at the start of the season (HR 1.98; 95 % CI 1.30-3.02), and familial disposition of ACL injury (HR 1.96; 95 % CI 1.22-3.16). No differences in injury rates were seen when playing on artificial turf compared with natural grass. Female youth football players with a familial disposition of ACL injury had an increased risk of ACL injury and acute knee injury. Older players and those with knee complaints at pre-season were more at risk of acute knee injury. Although the predictive values were low, these factors could be used in athlete screening to target preventive interventions. II.

X Demographics

X Demographics

The data shown below were collected from the profiles of 136 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 439 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Unknown 436 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 97 22%
Student > Master 65 15%
Student > Ph. D. Student 27 6%
Student > Doctoral Student 22 5%
Student > Postgraduate 18 4%
Other 50 11%
Unknown 160 36%
Readers by discipline Count As %
Sports and Recreations 119 27%
Medicine and Dentistry 66 15%
Nursing and Health Professions 42 10%
Unspecified 9 2%
Social Sciences 7 2%
Other 25 6%
Unknown 171 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 85. 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 26 July 2022.
All research outputs
#501,847
of 25,378,162 outputs
Outputs from Knee Surgery, Sports Traumatology, Arthroscopy
#20
of 2,929 outputs
Outputs of similar age
#8,470
of 396,718 outputs
Outputs of similar age from Knee Surgery, Sports Traumatology, Arthroscopy
#1
of 56 outputs
Altmetric has tracked 25,378,162 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,929 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done particularly well, scoring higher than 99% 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 396,718 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 97% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.