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Investigating physical fitness and race performance as determinants for the ACL injury risk in Alpine ski racing

Overview of attention for article published in BMC Sports Science, Medicine and Rehabilitation, August 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

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2 tweeters
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1 Facebook page

Citations

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10 Dimensions

Readers on

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48 Mendeley
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Title
Investigating physical fitness and race performance as determinants for the ACL injury risk in Alpine ski racing
Published in
BMC Sports Science, Medicine and Rehabilitation, August 2016
DOI 10.1186/s13102-016-0049-6
Pubmed ID
Authors

Kai-Uwe Schmitt, Kai-Uwe Schmitt, Nicole Hörterer, Michael Vogt, Walter O. Frey, Silvio Lorenzetti

Abstract

ACL ruptures in Alpine ski racers are frequently observed. This study analysed the association between physical fitness, race performance and the knee injury history. A retrospective study was conducted to investigate the influence of physical fitness and performance on the knee injury outcome. As part of this study an injury data base (covering 2004-2013) was established that recorded information about the athletes, their fitness status as determined by a standardised fitness test (Swiss Ski Power Test, SSPT) as well as medical information related to injuries. The performance of athletes who sustained knee injury was compared to athletes who suffered no injury or a different injury. Twenty-seven (19f, 8 m) of 70 athletes sustained a knee injury. ACL ruptures accounted for 71 % of these knee injuries. While more females sustained a knee injury, the difference between males and females was not statistically significant. It was shown that athletes with a better FIS (Fédération Internationale de Ski) rank were more prone to knee injury. However, none of the parameters related to physical fitness was linked to a history of knee injury. A general fitness test as SSPT is not associated with a history of knee injury in Alpine skiing. More specific physical fitness test procedures should be investigated to determine relevant fitness factors.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 21%
Student > Master 10 21%
Student > Ph. D. Student 4 8%
Student > Postgraduate 3 6%
Lecturer 3 6%
Other 6 13%
Unknown 12 25%
Readers by discipline Count As %
Sports and Recreations 16 33%
Medicine and Dentistry 8 17%
Nursing and Health Professions 5 10%
Social Sciences 1 2%
Arts and Humanities 1 2%
Other 2 4%
Unknown 15 31%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 25 August 2016.
All research outputs
#3,480,097
of 8,276,988 outputs
Outputs from BMC Sports Science, Medicine and Rehabilitation
#91
of 148 outputs
Outputs of similar age
#98,403
of 254,107 outputs
Outputs of similar age from BMC Sports Science, Medicine and Rehabilitation
#9
of 11 outputs
Altmetric has tracked 8,276,988 research outputs across all sources so far. This one has received more attention than most of these and is in the 57th percentile.
So far Altmetric has tracked 148 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 254,107 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.