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The p-AAA Algorithm for Data-Driven Modeling of Parametric Dynamical Systems

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

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6 Mendeley
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Title
The p-AAA Algorithm for Data-Driven Modeling of Parametric Dynamical Systems
Published in
SIAM Journal on Scientific Computing, June 2023
DOI 10.1137/20m1322698
Authors

Andrea Carracedo Rodriguez, Linus Balicki, Serkan Gugercin

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 3 50%
Mathematics 1 17%
Unknown 2 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 17 June 2023.
All research outputs
#21,385,494
of 23,877,203 outputs
Outputs from SIAM Journal on Scientific Computing
#680
of 980 outputs
Outputs of similar age
#138,861
of 167,577 outputs
Outputs of similar age from SIAM Journal on Scientific Computing
#1
of 3 outputs
Altmetric has tracked 23,877,203 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 980 research outputs from this source. They receive a mean Attention Score of 2.1. 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 167,577 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 3 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