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Creating three dimensional models of Alzheimer’s disease

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

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 118)
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users
facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Creating three dimensional models of Alzheimer’s disease
Published in
3D Printing in Medicine, November 2017
DOI 10.1186/s41205-017-0020-5
Pubmed ID
Authors

Matthew Marks, Amy Alexander, Joseph Matsumoto, Jane Matsumoto, Jonathan Morris, Ronald Petersen, Clifford Jack, Tatsuya Oishi, David Jones

Abstract

Alzheimer's disease prevalence will reach epidemic proportions in coming decades. There is a need for impactful educational materials to help patients, families, medical practitioners, and policy makers understand the nature and impact of the disease. Defining an effective workflow to create such models from existing segmentation tools will be a valuable contribution in creating these patient-specific models. A step-by-step workflow was developed and used to take patients' Digital Imaging and Computing in Medicine magnetic resonance brain images through a process resulting in illustrative 3D-printed brain and hippocampus models that clearly demonstrate the progressive degenerative changes caused by Alzheimer's disease. We outline the specific technical steps of auto-segmentation, manual smoothing, Standard Triangle Language file customization, and 3D printing used to create these models. Our explicated workflow can create effective models of Alzheimer's brains that can be used in patient education, medical education, and policy forums.

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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 4 15%
Researcher 3 12%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Student > Master 2 8%
Other 3 12%
Unknown 9 35%
Readers by discipline Count As %
Engineering 4 15%
Medicine and Dentistry 3 12%
Neuroscience 2 8%
Nursing and Health Professions 1 4%
Agricultural and Biological Sciences 1 4%
Other 6 23%
Unknown 9 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 22 April 2022.
All research outputs
#2,927,150
of 23,575,346 outputs
Outputs from 3D Printing in Medicine
#14
of 118 outputs
Outputs of similar age
#64,851
of 440,285 outputs
Outputs of similar age from 3D Printing in Medicine
#1
of 4 outputs
Altmetric has tracked 23,575,346 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 118 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 done well, scoring higher than 88% 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 440,285 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 85% 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