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Finite element modelling of radial shock wave therapy for chronic plantar fasciitis

Overview of attention for article published in Computer Methods in Biomechanics and Biomedical Engineering, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 1,262)
  • High Attention Score compared to outputs of the same age (89th percentile)

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Article details
Title
Finite element modelling of radial shock wave therapy for chronic plantar fasciitis
Published in
Computer Methods in Biomechanics and Biomedical Engineering, October 2015
DOI 10.1080/10255842.2015.1096348
Pubmed ID
Authors
Abstract

Therapeutic use of high-amplitude pressure waves, or shock wave therapy (SWT), is emerging as a popular method for treating musculoskeletal disorders. However, the mechanism(s) through which this technique promotes healing are unclear. Finite element models of a shock wave source and the foot were constructed to gain a better understanding of the mechanical stimuli that SWT produces in the context of plantar fasciitis treatment. The model of the shock wave source was based on the geometry of an actual radial shock wave device, in which pressure waves are generated through the collision of two metallic objects: a projectile and an applicator. The foot model was based on the geometry reconstructed from magnetic resonance images of a volunteer and it comprised bones, cartilage, soft tissue, plantar fascia, and Achilles tendon. Dynamic simulations were conducted of a single and of two successive shock wave pulses administered to the foot. The collision between the projectile and the applicator resulted in a stress wave in the applicator. This wave was transmitted into the soft tissue in the form of compression-rarefaction pressure waves with an amplitude of the order of several MPa. The negative pressure at the plantar fascia reached values of over 1.5 MPa, which could be sufficient to generate cavitation in the tissue. The results also show that multiple shock wave pulses may have a cumulative effect in terms of strain energy accumulation in the foot.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 14 23%
Researcher 8 13%
Student > Doctoral Student 7 12%
Other 6 10%
Student > Ph. D. Student 5 8%
Other 14 23%
Unknown 6 10%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 17 28%
Engineering 9 15%
Nursing and Health Professions 8 13%
Agricultural and Biological Sciences 5 8%
Psychology 2 3%
Other 9 15%
Unknown 10 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 16 December 2015.
All research outputs
#3,228,658
of 33,924,920 outputs
Outputs from Computer Methods in Biomechanics and Biomedical Engineering
#22
of 1,262 outputs
Outputs of similar age
#34,483
of 315,063 outputs
Outputs of similar age from Computer Methods in Biomechanics and Biomedical Engineering
#1
of 4 outputs
Altmetric has tracked 33,924,920 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,262 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done particularly well, scoring higher than 98% 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 315,063 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 89% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them