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Structure Preserving Schemes for Nonlinear Fokker–Planck Equations and Applications

Overview of attention for article published in Journal of Scientific Computing, July 2017
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About this Attention Score

  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

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4 X users

Citations

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52 Dimensions

Readers on

mendeley
21 Mendeley
Title
Structure Preserving Schemes for Nonlinear Fokker–Planck Equations and Applications
Published in
Journal of Scientific Computing, July 2017
DOI 10.1007/s10915-017-0510-z
Authors

Lorenzo Pareschi, Mattia Zanella

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 43%
Other 2 10%
Lecturer 1 5%
Professor 1 5%
Student > Master 1 5%
Other 2 10%
Unknown 5 24%
Readers by discipline Count As %
Mathematics 7 33%
Engineering 4 19%
Physics and Astronomy 1 5%
Social Sciences 1 5%
Earth and Planetary Sciences 1 5%
Other 0 0%
Unknown 7 33%
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 03 February 2017.
All research outputs
#15,440,760
of 22,950,943 outputs
Outputs from Journal of Scientific Computing
#78
of 731 outputs
Outputs of similar age
#199,238
of 316,904 outputs
Outputs of similar age from Journal of Scientific Computing
#1
of 6 outputs
Altmetric has tracked 22,950,943 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 731 research outputs from this source. They receive a mean Attention Score of 0.9. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 316,904 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them