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Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling

Overview of attention for article published in arXiv, September 2019
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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27 Dimensions

Readers on

mendeley
49 Mendeley
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Title
Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling
Published in
arXiv, September 2019
DOI 10.3389/fdata.2019.00033
Pubmed ID
Authors

Jiří Navrátil, Alan King, Jesus Rios, Georgios Kollias, Ruben Torrado, Andrés Codas

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Unspecified 4 8%
Researcher 4 8%
Student > Bachelor 4 8%
Student > Doctoral Student 3 6%
Other 6 12%
Unknown 14 29%
Readers by discipline Count As %
Engineering 17 35%
Unspecified 4 8%
Computer Science 3 6%
Earth and Planetary Sciences 2 4%
Mathematics 1 2%
Other 5 10%
Unknown 17 35%
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 20 September 2019.
All research outputs
#17,295,853
of 25,385,509 outputs
Outputs from arXiv
#356,285
of 915,125 outputs
Outputs of similar age
#225,216
of 354,032 outputs
Outputs of similar age from arXiv
#9,524
of 21,116 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 915,125 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 53% 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 354,032 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 21,116 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.