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Numerical modelling of shock-bubble interactions using a pressure-based algorithm without Riemann solvers

Overview of attention for article published in arXiv, June 2019
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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 (80th percentile)

Mentioned by

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Citations

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8 Dimensions

Readers on

mendeley
24 Mendeley
Title
Numerical modelling of shock-bubble interactions using a pressure-based algorithm without Riemann solvers
Published in
arXiv, June 2019
DOI 10.1007/s42757-019-0021-2
Authors

Fabian Denner, Berend G. M. van Wachem

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 25%
Researcher 4 17%
Professor > Associate Professor 2 8%
Student > Bachelor 1 4%
Student > Postgraduate 1 4%
Other 0 0%
Unknown 10 42%
Readers by discipline Count As %
Engineering 8 33%
Computer Science 1 4%
Mathematics 1 4%
Energy 1 4%
Physics and Astronomy 1 4%
Other 0 0%
Unknown 12 50%
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 04 July 2019.
All research outputs
#7,254,943
of 23,151,189 outputs
Outputs from arXiv
#158,062
of 952,359 outputs
Outputs of similar age
#129,249
of 350,092 outputs
Outputs of similar age from arXiv
#5,483
of 28,769 outputs
Altmetric has tracked 23,151,189 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 952,359 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 350,092 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 28,769 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.