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A mechanical argument for the differential performance of coronary artery grafts

Overview of attention for article published in Journal of the Mechanical Behavior of Biomedical Materials, September 2015
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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Article details
Title
A mechanical argument for the differential performance of coronary artery grafts
Published in
Journal of the Mechanical Behavior of Biomedical Materials, September 2015
DOI 10.1016/j.jmbbm.2015.09.017
Pubmed ID
Authors
Abstract

Coronary artery bypass grafting (CABG) acutely disturbs the homeostatic state of the transplanted vessel making retention of graft patency dependent on chronic remodeling processes. The time course and extent to which remodeling restores vessel homeostasis will depend, in part, on the nature and magnitude of the mechanical disturbances induced upon transplantation. In this investigation, biaxial mechanical testing and histology were performed on the porcine left anterior descending artery (LAD) and analogs of common autografts, including the internal thoracic artery (ITA), radial artery (RA), great saphenous vein (GSV) and lateral saphenous vein (LSV). Experimental data were used to quantify the parameters of a structure-based constitutive model enabling prediction of the acute vessel mechanical response pre-transplantation and under coronary loading conditions. A novel metric Ξ was developed to quantify mechanical differences between each graft vessel in situ and the LAD in situ, while a second metric Ω compares the graft vessels in situ to their state under coronary loading. The relative values of these metrics among candidate autograft sources are consistent with vessel-specific variations in CABG clinical success rates with the ITA as the superior and GSV the inferior graft choices based on mechanical performance. This approach can be used to evaluate other candidate tissues for grafting or to aid in the development of synthetic and tissue engineered alternatives.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 6 13%
Professor > Associate Professor 5 11%
Other 4 9%
Student > Bachelor 4 9%
Student > Ph. D. Student 4 9%
Other 8 17%
Unknown 15 33%
Readers by discipline
Readers by discipline Count As %
Engineering 13 28%
Medicine and Dentistry 9 20%
Biochemistry, Genetics and Molecular Biology 1 2%
Nursing and Health Professions 1 2%
Agricultural and Biological Sciences 1 2%
Other 1 2%
Unknown 20 43%
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 30 June 2022.
All research outputs
#11,656,097
of 33,992,632 outputs
Outputs from Journal of the Mechanical Behavior of Biomedical Materials
#428
of 1,680 outputs
Outputs of similar age
#110,182
of 311,252 outputs
Outputs of similar age from Journal of the Mechanical Behavior of Biomedical Materials
#11
of 28 outputs
Altmetric has tracked 33,992,632 research outputs across all sources so far. This one has received more attention than most of these and is in the 64th percentile.
So far Altmetric has tracked 1,680 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.6. This one has gotten more attention than average, scoring higher than 73% 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 311,252 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 63% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.