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Simulation of Anastomosis in Coronary Artery Bypass Surgery

Overview of attention for article published in Cardiovascular Engineering and Technology, July 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#2 of 174)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
1 X user
patent
1 patent

Readers on

mendeley
32 Mendeley
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Title
Simulation of Anastomosis in Coronary Artery Bypass Surgery
Published in
Cardiovascular Engineering and Technology, July 2016
DOI 10.1007/s13239-016-0274-x
Pubmed ID
Authors

Hadi Mohammadi, Bret Nestor, Guy Fradet

Abstract

Developing cardiac surgical skills and experience takes years of practice. Cardiac trainees need to develop technical proficiency in order to enhance quality of care and patient safety. Simulation-based models are common resources for teaching procedural skills in both undergraduate and postgraduate medical education. Suitable and accessible educational platforms can play a progressively important role in the training process for young surgeons in the area of cardiac surgery. Coronary artery bypass graft (CABG) surgery consists of a wide range of pathologic anatomies and surgical techniques. In this paper we introduce a novel, synthetic, biomimetic platform that allows for the realistic practice of the CABG surgery. The prototype uses a polyvinyl alcohol hydrogel which has been designed to mimic the geometric properties of vasculature. The proposed models look and feel like human tissue and possess somewhat consistent mechanical properties. In this study, we apply the platform to simulate a case of autogenous saphenous vein bypass grafting of a patient. An autogenous saphenous vein graft is placed from the aorta to the left anterior descending coronary artery. The standard procedures of the coronary artery bypass surgery were successfully simulated. Using the proposed technology, other complicated surgeries such as end to end, side to end, and sequential anastomoses can be simulated such that these models lend themselves very well to various types of anastomoses.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 19%
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Student > Doctoral Student 3 9%
Professor > Associate Professor 2 6%
Other 5 16%
Unknown 8 25%
Readers by discipline Count As %
Medicine and Dentistry 11 34%
Engineering 4 13%
Nursing and Health Professions 2 6%
Mathematics 1 3%
Agricultural and Biological Sciences 1 3%
Other 5 16%
Unknown 8 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 73. 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 23 June 2020.
All research outputs
#496,371
of 22,881,154 outputs
Outputs from Cardiovascular Engineering and Technology
#2
of 174 outputs
Outputs of similar age
#11,277
of 363,722 outputs
Outputs of similar age from Cardiovascular Engineering and Technology
#1
of 4 outputs
Altmetric has tracked 22,881,154 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 174 research outputs from this source. They receive a mean Attention Score of 3.7. 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 363,722 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 96% 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