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Foot contact angle variability during a prolonged run with relation to injury history and habitual foot strike pattern

Overview of attention for article published in Scandinavian Journal of Medicine & Science in Sports, January 2016
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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 (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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13 X users
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1 Facebook page
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1 Redditor

Readers on

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170 Mendeley
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Article details
Title
Foot contact angle variability during a prolonged run with relation to injury history and habitual foot strike pattern
Published in
Scandinavian Journal of Medicine & Science in Sports, January 2016
DOI 10.1111/sms.12647
Pubmed ID
Authors
Abstract

Foot strike pattern and movement variability have each been associated with running injuries. Foot contact angle (FCA) is a common measure of strike pattern. Thus, variability in FCA could be an important running injury risk factor. The purposes of this study were to compare (a) foot contact angle (FCA) and its variability between runners with and without injury history and, (b) FCA variability between habitual rearfoot strike (RFS) and non-RFS runners during a prolonged run. Twenty-three runners with and 21 without injury history participated. Motion capture was used to collect kinematic data during a 40 min treadmill run. Average FCA and its variability were compared between injury groups and among four time points. FCA and its variability were not different between runners with and without injury history or among time points during the run. FCA variability was lower in non-RFS compared to RFS runners (P < 0.001). Lower FCA variability in non-RFS runners may have implications for higher injury risks due to repeated localized tissue loading. Prospective analyses on the effects of lower FCA variability on injury risk are needed.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 170 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 1 <1%
Belgium 1 <1%
Unknown 168 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 28 16%
Student > Bachelor 22 13%
Researcher 19 11%
Student > Master 18 11%
Student > Postgraduate 8 5%
Other 29 17%
Unknown 46 27%
Readers by discipline
Readers by discipline Count As %
Sports and Recreations 43 25%
Nursing and Health Professions 21 12%
Medicine and Dentistry 20 12%
Agricultural and Biological Sciences 5 3%
Engineering 5 3%
Other 17 10%
Unknown 59 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 02 November 2020.
All research outputs
#5,289,649
of 32,060,042 outputs
Outputs from Scandinavian Journal of Medicine & Science in Sports
#1,288
of 3,286 outputs
Outputs of similar age
#70,069
of 435,756 outputs
Outputs of similar age from Scandinavian Journal of Medicine & Science in Sports
#17
of 39 outputs
Altmetric has tracked 32,060,042 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,286 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.9. This one has gotten more attention than average, scoring higher than 60% 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 435,756 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 83% of its contemporaries.
We're also able to compare this research output to 39 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 56% of its contemporaries.