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Using computed tomography and 3D printing to construct custom prosthetics attachments and devices

Overview of attention for article published in 3D Printing in Medicine, August 2017
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 119)
  • Good Attention Score compared to outputs of the same age (68th percentile)

Mentioned by

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2 X users
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1 Wikipedia page

Citations

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18 Dimensions

Readers on

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91 Mendeley
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Title
Using computed tomography and 3D printing to construct custom prosthetics attachments and devices
Published in
3D Printing in Medicine, August 2017
DOI 10.1186/s41205-017-0016-1
Pubmed ID
Authors

Peter C. Liacouras, Divya Sahajwalla, Mark D. Beachler, Todd Sleeman, Vincent B. Ho, John P. Lichtenberger

Abstract

The prosthetic devices the military uses to restore function and mobility to our wounded warriors are highly advanced, and in many instances not publically available. There is considerable research aimed at this population of young patients who are extremely active and desire to take part in numerous complex activities. While prosthetists design and manufacture numerous devices with standard materials and limb assemblies, patients often require individualized prosthetic design and/or modifications to enable them to participate fully in complex activities. Prosthetists and engineers perform research and implement digitally designs in collaboration to generate equipment for their patient's rehabilitation needs. 3D printing allows for these devices to be manufactured from an array of materials ranging from plastic to titanium alloy. Many designs require form fitting to a prosthetic socket or a complex surface geometry. Specialty items can be scanned using computed tomography and digitally reconstructed to produce a virtual 3D model the engineer can use to design the necessary features of the desired prosthetic, device, or attachment. Completed devices are tested for fit and function. Numerous custom prostheses and attachments have been successfully translated from the research domain to clinical reality, in particular, those that feature the use of computed tomography (CT) reconstructions. The purpose of this project is to describe the research pathways to implementation for the following clinical designs: sets of bilateral hockey skates; custom weightlifting prosthetic hands; and a wine glass holder. This article will demonstrate how to incorporate CT imaging and 3D printing in the design and manufacturing process of custom attachments and assistive technology devices. Even though some of these prosthesis attachments may be relatively simple in design to an engineer, they have an enormous impact on the lives of our wounded warriors.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 18%
Student > Master 10 11%
Student > Ph. D. Student 10 11%
Researcher 9 10%
Lecturer 6 7%
Other 9 10%
Unknown 31 34%
Readers by discipline Count As %
Engineering 40 44%
Medicine and Dentistry 4 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Design 3 3%
Agricultural and Biological Sciences 2 2%
Other 8 9%
Unknown 31 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 December 2020.
All research outputs
#6,391,095
of 23,577,654 outputs
Outputs from 3D Printing in Medicine
#35
of 119 outputs
Outputs of similar age
#99,268
of 318,335 outputs
Outputs of similar age from 3D Printing in Medicine
#2
of 4 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 119 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 70% 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 318,335 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 68% 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 2 of them.