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High Performance Computing for Drug Discovery and Biomedicine

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Attention for Chapter: A Blood Flow Modeling Framework for Stroke Treatments.
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Chapter title
A Blood Flow Modeling Framework for Stroke Treatments.
Book title
High Performance Computing for Drug Discovery and Biomedicine
Published in
Methods in molecular biology, January 2024
DOI 10.1007/978-1-0716-3449-3_17
Pubmed ID
Book ISBNs
978-1-07-163448-6, 978-1-07-163449-3
Authors

Petkantchin, Remy, Raynaud, Franck, Boudjeltia, Karim Zouaoui, Chopard, Bastien

Abstract

Circulatory models can significantly help develop new ways to alleviate the burden of stroke on society. However, it is not always easy to know what hemodynamics conditions to impose on a numerical model or how to simulate porous media, which ineluctably need to be addressed in strokes. We propose a validated open-source, flexible, and publicly available lattice-Boltzmann numerical framework for such problems and present its features in this chapter. Among them, we propose an algorithm for imposing pressure boundary conditions. We show how to use the method developed by Walsh et al. (Comput Geosci 35(6):1186-1193, 2009) to simulate the permeability law of any porous medium. Finally, we illustrate the features of the framework through a thrombolysis model.

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 September 2023.
All research outputs
#16,597,003
of 24,417,958 outputs
Outputs from Methods in molecular biology
#5,736
of 13,777 outputs
Outputs of similar age
#2,641
of 4,817 outputs
Outputs of similar age from Methods in molecular biology
#4
of 11 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,777 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 4,817 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.