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A new high-order particle method for solving high Reynolds number incompressible flows

Overview of attention for article published in Computational Particle Mechanics, December 2018
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Mentioned by

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1 Facebook page

Citations

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3 Dimensions

Readers on

mendeley
8 Mendeley
Title
A new high-order particle method for solving high Reynolds number incompressible flows
Published in
Computational Particle Mechanics, December 2018
DOI 10.1007/s40571-018-00217-w
Authors

Rex Kuan-Shuo Liu, Khai-Ching Ng, Tony Wen-Hann Sheu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Professor > Associate Professor 1 13%
Student > Postgraduate 1 13%
Unknown 4 50%
Readers by discipline Count As %
Engineering 3 38%
Unknown 5 63%
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 15 December 2018.
All research outputs
#20,545,598
of 23,117,738 outputs
Outputs from Computational Particle Mechanics
#180
of 293 outputs
Outputs of similar age
#371,174
of 436,358 outputs
Outputs of similar age from Computational Particle Mechanics
#4
of 14 outputs
Altmetric has tracked 23,117,738 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 293 research outputs from this source. They receive a mean Attention Score of 1.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 436,358 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.