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Development of a Novel Nonlinear Dynamic Cavitation Model and Its Numerical Validations

Overview of attention for article published in Advances in Applied Mathematics and Mechanics, June 2024
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1 X user

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6 Mendeley
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Title
Development of a Novel Nonlinear Dynamic Cavitation Model and Its Numerical Validations
Published in
Advances in Applied Mathematics and Mechanics, June 2024
DOI 10.4208/aamm.oa-2023-0041
Authors

Haidong Yu, Xiaobo Quan, Haipeng Wei, Matevž Dular null, Song Fu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Professor 1 17%
Researcher 1 17%
Other 1 17%
Unknown 1 17%
Readers by discipline Count As %
Engineering 3 50%
Physics and Astronomy 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 January 2024.
All research outputs
#17,320,760
of 25,420,980 outputs
Outputs from Advances in Applied Mathematics and Mechanics
#4
of 13 outputs
Outputs of similar age
#2,289
of 3,465 outputs
Outputs of similar age from Advances in Applied Mathematics and Mechanics
#1
of 1 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13 research outputs from this source. They receive a mean Attention Score of 0.9. This one scored the same or higher as 9 of them.
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 3,465 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% 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