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3D printing in medicine of congenital heart diseases

Overview of attention for article published in 3D Printing in Medicine, December 2016
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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 (#27 of 111)
  • Good Attention Score compared to outputs of the same age (76th percentile)

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9 X users
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1 Facebook page

Citations

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134 Dimensions

Readers on

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208 Mendeley
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Title
3D printing in medicine of congenital heart diseases
Published in
3D Printing in Medicine, December 2016
DOI 10.1186/s41205-016-0004-x
Pubmed ID
Authors

Shi-Joon Yoo, Omar Thabit, Eul Kyung Kim, Haruki Ide, Deane Yim, Anreea Dragulescu, Mike Seed, Lars Grosse-Wortmann, Glen van Arsdell

Abstract

Congenital heart diseases causing significant hemodynamic and functional consequences require surgical repair. Understanding of the precise surgical anatomy is often challenging and can be inadequate or wrong. Modern high resolution imaging techniques and 3D printing technology allow 3D printing of the replicas of the patient's heart for precise understanding of the complex anatomy, hands-on simulation of surgical and interventional procedures, and morphology teaching of the medical professionals and patients. CT or MR images obtained with ECG-gating and breath-holding or respiration navigation are best suited for 3D printing. 3D echocardiograms are not ideal but can be used for printing limited areas of interest such as cardiac valves and ventricular septum. Although the print materials still require optimization for representation of cardiovascular tissues and valves, the surgeons find the models suitable for practicing closure of the septal defects, application of the baffles within the ventricles, reconstructing the aortic arch, and arterial switch procedure. Hands-on surgical training (HOST) on models may soon become a mandatory component of congenital heart disease surgery program. 3D printing will expand its utilization with further improvement of the use of echocardiographic data and image fusion algorithm across multiple imaging modalities and development of new printing materials. Bioprinting of implants such as stents, patches and artificial valves and tissue engineering of a part of or whole heart using the patient's own cells will open the door to a new era of personalized medicine.

X Demographics

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Italy 1 <1%
Unknown 206 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 31 15%
Researcher 29 14%
Student > Master 23 11%
Student > Ph. D. Student 22 11%
Other 14 7%
Other 40 19%
Unknown 49 24%
Readers by discipline Count As %
Medicine and Dentistry 63 30%
Engineering 47 23%
Biochemistry, Genetics and Molecular Biology 10 5%
Physics and Astronomy 4 2%
Nursing and Health Professions 3 1%
Other 19 9%
Unknown 62 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 September 2019.
All research outputs
#5,438,075
of 22,888,307 outputs
Outputs from 3D Printing in Medicine
#27
of 111 outputs
Outputs of similar age
#98,089
of 416,411 outputs
Outputs of similar age from 3D Printing in Medicine
#2
of 4 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 111 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 75% 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 416,411 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 76% 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.