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POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equations

Overview of attention for article published in Advanced Modeling and Simulation in Engineering Sciences, March 2023
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

mendeley
18 Mendeley
Title
POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equations
Published in
Advanced Modeling and Simulation in Engineering Sciences, March 2023
DOI 10.1186/s40323-023-00242-2
Authors

Saddam Hijazi, Melina Freitag, Niels Landwehr

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 3 17%
Unspecified 2 11%
Student > Master 2 11%
Student > Doctoral Student 2 11%
Lecturer > Senior Lecturer 1 6%
Other 2 11%
Unknown 6 33%
Readers by discipline Count As %
Engineering 7 39%
Unspecified 2 11%
Mathematics 2 11%
Agricultural and Biological Sciences 1 6%
Unknown 6 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 19 March 2023.
All research outputs
#15,857,708
of 23,565,002 outputs
Outputs from Advanced Modeling and Simulation in Engineering Sciences
#25
of 62 outputs
Outputs of similar age
#192,458
of 356,159 outputs
Outputs of similar age from Advanced Modeling and Simulation in Engineering Sciences
#1
of 1 outputs
Altmetric has tracked 23,565,002 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 62 research outputs from this source. They receive a mean Attention Score of 2.0. This one is in the 37th percentile – i.e., 37% 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 356,159 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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