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Characterizing the Mechanical Properties of Running-Specific Prostheses

Overview of attention for article published in PLOS ONE, December 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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9 X users
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Article details
Title
Characterizing the Mechanical Properties of Running-Specific Prostheses
Published in
PLOS ONE, December 2016
DOI 10.1371/journal.pone.0168298
Pubmed ID
Authors
Abstract

The mechanical stiffness of running-specific prostheses likely affects the functional abilities of athletes with leg amputations. However, each prosthetic manufacturer recommends prostheses based on subjective stiffness categories rather than performance based metrics. The actual mechanical stiffness values of running-specific prostheses (i.e. kN/m) are unknown. Consequently, we sought to characterize and disseminate the stiffness values of running-specific prostheses so that researchers, clinicians, and athletes can objectively evaluate prosthetic function. We characterized the stiffness values of 55 running-specific prostheses across various models, stiffness categories, and heights using forces and angles representative of those measured from athletes with transtibial amputations during running. Characterizing prosthetic force-displacement profiles with a 2nd degree polynomial explained 4.4% more of the variance than a linear function (p<0.001). The prosthetic stiffness values of manufacturer recommended stiffness categories varied between prosthetic models (p<0.001). Also, prosthetic stiffness was 10% to 39% less at angles typical of running 3 m/s and 6 m/s (10°-25°) compared to neutral (0°) (p<0.001). Furthermore, prosthetic stiffness was inversely related to height in J-shaped (p<0.001), but not C-shaped, prostheses. Running-specific prostheses should be tested under the demands of the respective activity in order to derive relevant characterizations of stiffness and function. In all, our results indicate that when athletes with leg amputations alter prosthetic model, height, and/or sagittal plane alignment, their prosthetic stiffness profiles also change; therefore variations in comfort, performance, etc. may be indirectly due to altered stiffness.

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X Demographics

The data shown below were collected from the profiles of 9 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 243 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 %
United Kingdom 1 <1%
Unknown 242 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 39 16%
Student > Bachelor 30 12%
Student > Ph. D. Student 17 7%
Researcher 14 6%
Other 11 5%
Other 27 11%
Unknown 105 43%
Readers by discipline
Readers by discipline Count As %
Engineering 67 28%
Sports and Recreations 23 9%
Nursing and Health Professions 12 5%
Medicine and Dentistry 11 5%
Agricultural and Biological Sciences 2 <1%
Other 13 5%
Unknown 115 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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
#5,249,666
of 27,788,586 outputs
Outputs from PLOS ONE
#100,584
of 241,422 outputs
Outputs of similar age
#83,520
of 419,338 outputs
Outputs of similar age from PLOS ONE
#1,115
of 3,950 outputs
Altmetric has tracked 27,788,586 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 241,422 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has gotten more attention than average, scoring higher than 58% 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 419,338 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 80% of its contemporaries.
We're also able to compare this research output to 3,950 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.