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Constructing non-reflecting boundary conditions using summation-by-parts in time

Overview of attention for article published in Journal of Computational Physics, February 2017
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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18 Mendeley
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Title
Constructing non-reflecting boundary conditions using summation-by-parts in time
Published in
Journal of Computational Physics, February 2017
DOI 10.1016/j.jcp.2016.11.038
Authors

Hannes Frenander, Jan Nordström

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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Researcher 3 17%
Student > Master 3 17%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Other 2 11%
Unknown 1 6%
Readers by discipline Count As %
Engineering 9 50%
Computer Science 1 6%
Mathematics 1 6%
Earth and Planetary Sciences 1 6%
Physics and Astronomy 1 6%
Other 0 0%
Unknown 5 28%
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 07 December 2016.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Journal of Computational Physics
#3,788
of 5,758 outputs
Outputs of similar age
#365,733
of 424,905 outputs
Outputs of similar age from Journal of Computational Physics
#51
of 147 outputs
Altmetric has tracked 25,373,627 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 5,758 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 424,905 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 147 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.