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Fluid preconditioning for Newton–Krylov-based, fully implicit, electrostatic particle-in-cell simulations

Overview of attention for article published in Journal of Computational Physics, February 2014
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1 X user

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20 Mendeley
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Article details
Title
Fluid preconditioning for Newton–Krylov-based, fully implicit, electrostatic particle-in-cell simulations
Published in
Journal of Computational Physics, February 2014
DOI 10.1016/j.jcp.2013.10.052
Authors

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Timeline Attention over time Attention Score history
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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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 20%
Student > Ph. D. Student 3 15%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Other 1 5%
Other 2 10%
Unknown 6 30%
Readers by discipline
Readers by discipline Count As %
Engineering 6 30%
Physics and Astronomy 5 25%
Nursing and Health Professions 1 5%
Computer Science 1 5%
Energy 1 5%
Other 0 0%
Unknown 6 30%
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 25 September 2013.
All research outputs
#24,995,881
of 27,778,980 outputs
Outputs from Journal of Computational Physics
#3,937
of 5,941 outputs
Outputs of similar age
#293,303
of 331,448 outputs
Outputs of similar age from Journal of Computational Physics
#35
of 47 outputs
Altmetric has tracked 27,778,980 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 331,448 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 47 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.