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An unconditionally energy stable finite difference scheme for a stochastic Cahn-Hilliard equation

Overview of attention for article published in Science China Mathematics, March 2016
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Title
An unconditionally energy stable finite difference scheme for a stochastic Cahn-Hilliard equation
Published in
Science China Mathematics, March 2016
DOI 10.1007/s11425-016-5137-2
Authors

Xiao Li, ZhongHua Qiao, Hui Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 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%
Student > Doctoral Student 2 33%
Researcher 1 17%
Unknown 1 17%
Readers by discipline Count As %
Mathematics 4 67%
Chemical Engineering 1 17%
Unknown 1 17%
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 30 November 2015.
All research outputs
#19,702,729
of 24,217,893 outputs
Outputs from Science China Mathematics
#73
of 176 outputs
Outputs of similar age
#222,918
of 303,002 outputs
Outputs of similar age from Science China Mathematics
#3
of 10 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 176 research outputs from this source. They receive a mean Attention Score of 0.9. This one is in the 17th percentile – i.e., 17% 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 303,002 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.