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A parallel multi-resolution Smoothed Particle Hydrodynamics model with local time stepping

Overview of attention for article published in Journal of Computational Physics, July 2024
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
6 X users

Readers on

mendeley
1 Mendeley
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Title
A parallel multi-resolution Smoothed Particle Hydrodynamics model with local time stepping
Published in
Journal of Computational Physics, July 2024
DOI 10.1016/j.jcp.2024.113039
Authors

Guixun Zhu, Yongdong Cui, Boo Cheong Khoo, Siming Zheng, Zongbing Yu, Yelin Gao

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 April 2024.
All research outputs
#7,182,302
of 25,806,763 outputs
Outputs from Journal of Computational Physics
#387
of 5,790 outputs
Outputs of similar age
#2,049
of 6,317 outputs
Outputs of similar age from Journal of Computational Physics
#1
of 12 outputs
Altmetric has tracked 25,806,763 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 5,790 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done particularly well, scoring higher than 93% 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 6,317 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 67% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.