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Making three-dimensional echocardiography more tangible: a workflow for three-dimensional printing with echocardiographic data

Overview of attention for article published in Echo Research & Practice, December 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 (#40 of 274)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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35 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

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19 Dimensions

Readers on

mendeley
82 Mendeley
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Title
Making three-dimensional echocardiography more tangible: a workflow for three-dimensional printing with echocardiographic data
Published in
Echo Research & Practice, December 2017
DOI 10.1530/erp-16-0036
Pubmed ID
Authors

Azad Mashari, Mario Montealegre-Gallegos, Ziyad Knio, Lu Yeh, Jelliffe Jeganathan, Robina Matyal, Kamal R. Khabbaz, Feroze Mahmood

Abstract

Three-dimensional (3D) printing is a rapidly evolving technology that has several potential applications in the diagnosis and management of cardiac disease. Recently, 3D printing (i.e. rapid prototyping) derived from 3D transesophageal echocardiography (TEE) has become possible. Several steps need to be followed in order to perform echocardiography-derived 3D printing. These include logistics and organization of tools and materials, 3D TEE image acquisition, data export from the ultrasound system, format conversion, segmentation, generation of a stereolithography file, and printing. Due to the multiple steps involved and the specific software packages required for each one, it may be difficult to start implementing echocardiography-derived 3D printing. Therefore, we decided to describe the workflow for 3D printing of cardiac anatomical structures from 3D TEE data. Generation of these patient-specific cardiac anatomy models from echocardiographic data is a feasible, practical application of 3D printing technology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 1%
Unknown 81 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Student > Ph. D. Student 10 12%
Student > Master 9 11%
Student > Bachelor 6 7%
Other 6 7%
Other 17 21%
Unknown 22 27%
Readers by discipline Count As %
Medicine and Dentistry 25 30%
Engineering 17 21%
Nursing and Health Professions 5 6%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Agricultural and Biological Sciences 3 4%
Other 4 5%
Unknown 25 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 14 November 2018.
All research outputs
#1,793,692
of 25,832,559 outputs
Outputs from Echo Research & Practice
#40
of 274 outputs
Outputs of similar age
#38,810
of 447,820 outputs
Outputs of similar age from Echo Research & Practice
#1
of 7 outputs
Altmetric has tracked 25,832,559 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done well, scoring higher than 85% 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 447,820 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 7 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