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A 3D/1D geometrical multiscale model of cerebral vasculature

Overview of attention for article published in Journal of Engineering Mathematics, March 2009
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About this Attention Score

  • Among the highest-scoring outputs from this source (#22 of 119)

Mentioned by

patent
3 patents

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
72 Mendeley
Title
A 3D/1D geometrical multiscale model of cerebral vasculature
Published in
Journal of Engineering Mathematics, March 2009
DOI 10.1007/s10665-009-9281-3
Authors

Tiziano Passerini, Mariarita de Luca, Luca Formaggia, Alfio Quarteroni, Alessandro Veneziani

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Germany 1 1%
Netherlands 1 1%
India 1 1%
Spain 1 1%
Japan 1 1%
United States 1 1%
Unknown 64 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Student > Master 13 18%
Researcher 12 17%
Student > Doctoral Student 5 7%
Student > Bachelor 4 6%
Other 10 14%
Unknown 12 17%
Readers by discipline Count As %
Engineering 25 35%
Mathematics 13 18%
Medicine and Dentistry 5 7%
Agricultural and Biological Sciences 3 4%
Physics and Astronomy 2 3%
Other 5 7%
Unknown 19 26%
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 21 May 2019.
All research outputs
#7,531,132
of 22,979,862 outputs
Outputs from Journal of Engineering Mathematics
#22
of 119 outputs
Outputs of similar age
#37,923
of 107,552 outputs
Outputs of similar age from Journal of Engineering Mathematics
#1
of 1 outputs
Altmetric has tracked 22,979,862 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 119 research outputs from this source. They receive a mean Attention Score of 2.6. This one has gotten more attention than average, scoring higher than 52% 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 107,552 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% 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