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Manifold Approximations via Transported Subspaces: Model Reduction for Transport-Dominated Problems

Overview of attention for article published in SIAM Journal on Scientific Computing, February 2023
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1 X user

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15 Mendeley
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Title
Manifold Approximations via Transported Subspaces: Model Reduction for Transport-Dominated Problems
Published in
SIAM Journal on Scientific Computing, February 2023
DOI 10.1137/20m1316998
Authors

Donsub Rim, Benjamin Peherstorfer, Kyle T. Mandli

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 33%
Professor 2 13%
Student > Bachelor 1 7%
Student > Ph. D. Student 1 7%
Student > Doctoral Student 1 7%
Other 0 0%
Unknown 5 33%
Readers by discipline Count As %
Mathematics 4 27%
Engineering 3 20%
Psychology 2 13%
Social Sciences 1 7%
Business, Management and Accounting 1 7%
Other 0 0%
Unknown 4 27%
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 22 February 2023.
All research outputs
#20,802,848
of 23,410,748 outputs
Outputs from SIAM Journal on Scientific Computing
#645
of 946 outputs
Outputs of similar age
#253,280
of 325,945 outputs
Outputs of similar age from SIAM Journal on Scientific Computing
#2
of 17 outputs
Altmetric has tracked 23,410,748 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 946 research outputs from this source. They receive a mean Attention Score of 2.2. 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 325,945 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 17 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.