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A face‐centred finite volume method for high‐contrast Stokes interface problems

Overview of attention for article published in International Journal for Numerical Methods in Engineering, May 2023
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  • Good Attention Score compared to outputs of the same age (68th percentile)

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Title
A face‐centred finite volume method for high‐contrast Stokes interface problems
Published in
International Journal for Numerical Methods in Engineering, May 2023
DOI 10.1002/nme.7294
Authors

Ruben Sevilla, Thibault Duretz

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 June 2023.
All research outputs
#7,378,615
of 23,847,468 outputs
Outputs from International Journal for Numerical Methods in Engineering
#98
of 915 outputs
Outputs of similar age
#78,107
of 248,420 outputs
Outputs of similar age from International Journal for Numerical Methods in Engineering
#1
of 1 outputs
Altmetric has tracked 23,847,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 915 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 88% 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 248,420 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
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