↓ Skip to main content

A poroelastic model valid in large strains with applications to perfusion in cardiac modeling

Overview of attention for article published in Computational Mechanics, December 2009
Altmetric Badge

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
93 Dimensions

Readers on

mendeley
103 Mendeley
citeulike
1 CiteULike
Title
A poroelastic model valid in large strains with applications to perfusion in cardiac modeling
Published in
Computational Mechanics, December 2009
DOI 10.1007/s00466-009-0452-x
Authors

D. Chapelle, J.-F. Gerbeau, J. Sainte-Marie, I. E. Vignon-Clementel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
New Zealand 2 2%
Iran, Islamic Republic of 1 <1%
United States 1 <1%
Unknown 96 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 28%
Researcher 20 19%
Student > Master 8 8%
Professor > Associate Professor 7 7%
Professor 5 5%
Other 18 17%
Unknown 16 16%
Readers by discipline Count As %
Engineering 48 47%
Mathematics 17 17%
Medicine and Dentistry 3 3%
Computer Science 2 2%
Agricultural and Biological Sciences 2 2%
Other 8 8%
Unknown 23 22%
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 28 October 2015.
All research outputs
#7,468,426
of 22,831,537 outputs
Outputs from Computational Mechanics
#78
of 254 outputs
Outputs of similar age
#48,481
of 165,476 outputs
Outputs of similar age from Computational Mechanics
#2
of 2 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 254 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 46th percentile – i.e., 46% 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 165,476 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.