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Effects of flow geometry on blood viscoelasticity

Overview of attention for article published in Biorheology, November 2006
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  • Among the highest-scoring outputs from this source (#34 of 179)

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3 Wikipedia pages

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49 Mendeley
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Article details
Title
Effects of flow geometry on blood viscoelasticity
Published in
Biorheology, November 2006
DOI 10.1177/0006355x2006043006006
Pubmed ID
Authors
Abstract

The viscoelastic properties of blood are dominated by microstructures formed by red cells. The microstructures are of several types such as irregular aggregates, rouleaux, and layers of aligned cells. The dynamic deformability of the red cells, aggregation tendency, cell concentration, size of confining vessel and rate of flow are determining factors in the microstructure. Viscoelastic properties, viscosity and elasticity, relate to energy loss and storage in flowing blood while relaxation time and Weissenberg number play a role in assessing the importance of the elasticity relative to the viscosity. These effects are shown herein for flow in a large straight cylindrical tube, a small tube, and a porous medium. These cases approximate the geometries of the arterial system: large vessels, small vessels and vessels with many branches and bifurcations. In each case the viscosity, elasticity, relaxation time and Weissenberg number for normal human blood as well as blood with enhanced cell aggregation tendency and diminished cell deformability are given. In the smaller spaces of the microtubes and porous media, the diminished viscosity shows the possible influence of the Fåhraeus-Lindqvist effect and at high shear rates, the viscoelasticity of blood shows dilatancy. This is true for normal, aggregation enhanced and hardened cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
India 1 2%
Spain 1 2%
Canada 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 10 20%
Student > Master 6 12%
Researcher 5 10%
Student > Bachelor 4 8%
Professor > Associate Professor 4 8%
Other 7 14%
Unknown 13 27%
Readers by discipline
Readers by discipline Count As %
Engineering 14 29%
Medicine and Dentistry 6 12%
Physics and Astronomy 5 10%
Chemical Engineering 2 4%
Mathematics 1 2%
Other 6 12%
Unknown 15 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 2026.
All research outputs
#9,355,505
of 27,288,214 outputs
Outputs from Biorheology
#34
of 179 outputs
Outputs of similar age
#35,095
of 97,565 outputs
Outputs of similar age from Biorheology
#1
of 1 outputs
Altmetric has tracked 27,288,214 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 179 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 18th percentile – i.e., 18% 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 97,565 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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