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Steepest descent optimisation of Runge–Kutta coefficients for second order implicit finite volume CFD codes

Overview of attention for article published in Journal of Computational Physics, February 2018
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1 X user

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12 Mendeley
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Article details
Title
Steepest descent optimisation of Runge–Kutta coefficients for second order implicit finite volume CFD codes
Published in
Journal of Computational Physics, February 2018
DOI 10.1016/j.jcp.2017.09.008
Authors

Cyril Misev, Nicholas J. Hills

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 2 17%
Student > Postgraduate 2 17%
Other 1 8%
Lecturer 1 8%
Student > Bachelor 1 8%
Other 2 17%
Unknown 3 25%
Readers by discipline
Readers by discipline Count As %
Engineering 5 42%
Mathematics 3 25%
Computer Science 1 8%
Unknown 3 25%
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 14 November 2017.
All research outputs
#25,003,514
of 27,788,586 outputs
Outputs from Journal of Computational Physics
#3,937
of 5,941 outputs
Outputs of similar age
#398,544
of 456,232 outputs
Outputs of similar age from Journal of Computational Physics
#64
of 158 outputs
Altmetric has tracked 27,788,586 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 5,941 research outputs from this source. They receive a mean Attention Score of 1.7. 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 456,232 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 158 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.