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Two-dimensional strain-hardening membrane model for large deformation behavior of multiple red blood cells in high shear conditions

Overview of attention for article published in Theoretical Biology and Medical Modelling, May 2014
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Title
Two-dimensional strain-hardening membrane model for large deformation behavior of multiple red blood cells in high shear conditions
Published in
Theoretical Biology and Medical Modelling, May 2014
DOI 10.1186/1742-4682-11-19
Pubmed ID
Authors

Swe Soe Ye, Yan Cheng Ng, Justin Tan, Hwa Liang Leo, Sangho Kim

Abstract

Computational modeling of Red Blood Cell (RBC) flow contributes to the fundamental understanding of microhemodynamics and microcirculation. In order to construct theoretical RBC models, experimental studies on single RBC mechanics have presented a material description for RBC membranes based on their membrane shear, bending and area moduli. These properties have been directly employed in 3D continuum models of RBCs but practical flow analysis with 3D models have been limited by their computationally expensive nature. As such, various researchers have employed 2D models to efficiently and qualitatively study microvessel flows. Currently, the representation of RBC dynamics using 2D models is a limited methodology that breaks down at high shear rates due to excessive and unrealistic stretching.

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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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 30%
Student > Bachelor 5 22%
Student > Ph. D. Student 5 22%
Lecturer 2 9%
Researcher 2 9%
Other 0 0%
Unknown 2 9%
Readers by discipline Count As %
Engineering 11 48%
Agricultural and Biological Sciences 2 9%
Physics and Astronomy 2 9%
Materials Science 2 9%
Medicine and Dentistry 1 4%
Other 2 9%
Unknown 3 13%
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 May 2014.
All research outputs
#20,229,658
of 22,755,127 outputs
Outputs from Theoretical Biology and Medical Modelling
#246
of 287 outputs
Outputs of similar age
#192,742
of 226,936 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#8
of 14 outputs
Altmetric has tracked 22,755,127 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 1st percentile – i.e., 1% 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 226,936 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.