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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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147 Mendeley
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Article details
Title
Prosthetic model, but not stiffness or height, affects the metabolic cost of running for athletes with unilateral transtibial amputations
Published in
Journal of Applied Physiology, March 2017
DOI 10.1152/japplphysiol.00896.2016
Pubmed ID
Authors
Abstract

Running-specific prostheses enable athletes with lower limb amputations to run by emulating the spring-like function of biological legs. Current prosthetic stiffness and height recommendations aim to mitigate kinematic asymmetries for athletes with unilateral transtibial amputations. However, it's unclear how different prosthetic configurations influence the biomechanics and metabolic costs of running. Consequently, we investigated how prosthetic model, stiffness, and height affect the biomechanics and metabolic costs of running. Ten athletes with unilateral transtibial amputations each performed fifteen running trials at 2.5 or 3.0 m/s while we measured ground reaction forces and metabolic rates. Athletes ran using three different prosthetic models with five different stiffness category and height combinations per model. Use of an Ottobock 1E90 Sprinter prosthesis reduced metabolic cost by 4.3% and 3.4% compared to use of Freedom Innovations Catapult (fixed effect (β)=-0.177; p<0.001) and Össur Flex-Run (β=-0.139; p=0.002) prostheses, respectively. Neither prosthetic stiffness (p≥0.180) nor height (p=0.062) affected the metabolic cost of running. The metabolic cost of running was related to lower peak (β=0.649; p=0.001) and stance average (β=0.772; p=0.018) vertical ground reaction forces, prolonged ground contact times (β=-4.349; p=0.012), and decreased leg stiffness (β=0.071; p<0.001) averaged from both legs. Metabolic cost was reduced with more symmetric peak vertical ground reaction forces (β=0.007; p=0.003), but was unrelated to symmetric stride kinematics (p≥0.636). Therefore, prosthetic recommendations based on stride kinematics do not necessarily minimize the metabolic cost of running. Instead, an optimal prosthetic model, which improves overall biomechanics, minimizes the metabolic cost of running for athletes with unilateral transtibial amputations.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 147 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 %
Unknown 147 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 17 12%
Student > Ph. D. Student 17 12%
Unspecified 16 11%
Student > Master 14 10%
Researcher 12 8%
Other 33 22%
Unknown 38 26%
Readers by discipline
Readers by discipline Count As %
Engineering 31 21%
Sports and Recreations 18 12%
Unspecified 17 12%
Medicine and Dentistry 14 10%
Nursing and Health Professions 12 8%
Other 12 8%
Unknown 43 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 October 2018.
All research outputs
#9,718,516
of 32,004,021 outputs
Outputs from Journal of Applied Physiology
#4,466
of 11,080 outputs
Outputs of similar age
#117,465
of 340,397 outputs
Outputs of similar age from Journal of Applied Physiology
#28
of 59 outputs
Altmetric has tracked 32,004,021 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 11,080 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 59% 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 340,397 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 65% of its contemporaries.
We're also able to compare this research output to 59 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 52% of its contemporaries.