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Local Maximal Stress Hypothesis and Computational Plaque Vulnerability Index for Atherosclerotic Plaque Assessment

Overview of attention for article published in Annals of Biomedical Engineering, December 2005
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

patent
42 patents
wikipedia
1 Wikipedia page

Readers on

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59 Mendeley
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Title
Local Maximal Stress Hypothesis and Computational Plaque Vulnerability Index for Atherosclerotic Plaque Assessment
Published in
Annals of Biomedical Engineering, December 2005
DOI 10.1007/s10439-005-8267-1
Pubmed ID
Authors

Dalin Tang, Chun Yang, Jie Zheng, Pamela K. Woodard, Jeffrey E. Saffitz, Joseph D. Petruccelli, Gregorio A. Sicard, Chun Yuan

Abstract

It is believed that atherosclerotic plaque rupture may be related to maximal stress conditions in the plaque. More careful examination of stress distributions in plaques reveals that it may be the local stress/strain behaviors at critical sites such as very thin plaque cap and locations with plaque cap weakness that are more closely related to plaque rupture risk. A "local maximal stress hypothesis" and a stress-based computational plaque vulnerability index (CPVI) are proposed to assess plaque vulnerability. A critical site selection (CSS) method is proposed to identify critical sites in the plaque and critical stress conditions which are be used to determine CPVI values. Our initial results based on 34 2D MRI slices from 14 human coronary plaque samples indicate that CPVI plaque assessment has an 85% agreement rate (91% if the square root of stress values is used) with assessment given by histopathological analysis. Large-scale and long-term patient studies are needed to further validate our findings for more accurate quantitative plaque vulnerability assessment.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Spain 1 2%
United States 1 2%
Unknown 55 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 24%
Student > Ph. D. Student 13 22%
Researcher 7 12%
Student > Bachelor 3 5%
Professor > Associate Professor 3 5%
Other 10 17%
Unknown 9 15%
Readers by discipline Count As %
Engineering 27 46%
Medicine and Dentistry 7 12%
Mathematics 5 8%
Computer Science 3 5%
Agricultural and Biological Sciences 2 3%
Other 3 5%
Unknown 12 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 24 October 2023.
All research outputs
#3,921,646
of 25,988,468 outputs
Outputs from Annals of Biomedical Engineering
#1
of 2 outputs
Outputs of similar age
#12,447
of 162,263 outputs
Outputs of similar age from Annals of Biomedical Engineering
#1
of 10 outputs
Altmetric has tracked 25,988,468 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one scored the same or higher as 1 of them.
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 162,263 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 89% of its contemporaries.
We're also able to compare this research output to 10 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