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A relaxed a posteriori MOOD algorithm for multicomponent compressible flows using high-order finite-volume methods on unstructured meshes

Overview of attention for article published in Applied Mathematics & Computation, January 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
4 X users

Citations

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11 Dimensions

Readers on

mendeley
5 Mendeley
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Title
A relaxed a posteriori MOOD algorithm for multicomponent compressible flows using high-order finite-volume methods on unstructured meshes
Published in
Applied Mathematics & Computation, January 2023
DOI 10.1016/j.amc.2022.127544
Authors

Panagiotis Tsoutsanis, Machavolu Sai Santosh Pavan Kumar, Pericles S. Farmakis

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 20%
Researcher 1 20%
Student > Doctoral Student 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Engineering 2 40%
Sports and Recreations 1 20%
Unknown 2 40%
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 03 October 2022.
All research outputs
#14,416,961
of 25,604,262 outputs
Outputs from Applied Mathematics & Computation
#325
of 1,683 outputs
Outputs of similar age
#177,016
of 478,174 outputs
Outputs of similar age from Applied Mathematics & Computation
#4
of 33 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,683 research outputs from this source. They receive a mean Attention Score of 1.8. This one has done well, scoring higher than 80% 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 478,174 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 62% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.