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Patient-specific CFD simulation of intraventricular haemodynamics based on 3D ultrasound imaging

Overview of attention for article published in BioMedical Engineering OnLine, September 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Patient-specific CFD simulation of intraventricular haemodynamics based on 3D ultrasound imaging
Published in
BioMedical Engineering OnLine, September 2016
DOI 10.1186/s12938-016-0231-9
Pubmed ID
Authors

A. M. Bavo, A. M. Pouch, J. Degroote, J. Vierendeels, J. H. Gorman, R. C. Gorman, P. Segers

Abstract

The goal of this paper is to present a computational fluid dynamic (CFD) model with moving boundaries to study the intraventricular flows in a patient-specific framework. Starting from the segmentation of real-time transesophageal echocardiographic images, a CFD model including the complete left ventricle and the moving 3D mitral valve was realized. Their motion, known as a function of time from the segmented ultrasound images, was imposed as a boundary condition in an Arbitrary Lagrangian-Eulerian framework. The model allowed for a realistic description of the displacement of the structures of interest and for an effective analysis of the intraventricular flows throughout the cardiac cycle. The model provides detailed intraventricular flow features, and highlights the importance of the 3D valve apparatus for the vortex dynamics and apical flow. The proposed method could describe the haemodynamics of the left ventricle during the cardiac cycle. The methodology might therefore be of particular importance in patient treatment planning to assess the impact of mitral valve treatment on intraventricular flow dynamics.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 23%
Student > Ph. D. Student 14 22%
Student > Bachelor 7 11%
Student > Master 6 9%
Professor 3 5%
Other 12 18%
Unknown 8 12%
Readers by discipline Count As %
Engineering 30 46%
Medicine and Dentistry 6 9%
Agricultural and Biological Sciences 3 5%
Computer Science 3 5%
Chemical Engineering 2 3%
Other 6 9%
Unknown 15 23%

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 05 September 2017.
All research outputs
#3,339,523
of 12,444,560 outputs
Outputs from BioMedical Engineering OnLine
#91
of 552 outputs
Outputs of similar age
#80,683
of 263,000 outputs
Outputs of similar age from BioMedical Engineering OnLine
#4
of 12 outputs
Altmetric has tracked 12,444,560 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 552 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 83% 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 263,000 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 69% of its contemporaries.
We're also able to compare this research output to 12 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 66% of its contemporaries.