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A conservative and consistent Lagrangian gradient smoothing method for simulating free surface flows in hydrodynamics

Overview of attention for article published in Computational Particle Mechanics, July 2019
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Title
A conservative and consistent Lagrangian gradient smoothing method for simulating free surface flows in hydrodynamics
Published in
Computational Particle Mechanics, July 2019
DOI 10.1007/s40571-019-00262-z
Authors

Zirui Mao, G. R. Liu, Xiangwei Dong, Tao Lin

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 12 July 2019.
All research outputs
#11,846,267
of 13,352,827 outputs
Outputs from Computational Particle Mechanics
#130
of 187 outputs
Outputs of similar age
#168,031
of 204,888 outputs
Outputs of similar age from Computational Particle Mechanics
#4
of 14 outputs
Altmetric has tracked 13,352,827 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 187 research outputs from this source. They receive a mean Attention Score of 1.1. 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 204,888 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.