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Predicting Coherent Turbulent Structures via Deep Learning

Overview of attention for article published in Frontiers in Physics, April 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
7 X users

Citations

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4 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Predicting Coherent Turbulent Structures via Deep Learning
Published in
Frontiers in Physics, April 2022
DOI 10.3389/fphy.2022.888832
Authors

D. Schmekel, F. Alcántara-Ávila, S. Hoyas, R. Vinuesa

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 29%
Student > Master 2 12%
Professor 1 6%
Student > Doctoral Student 1 6%
Professor > Associate Professor 1 6%
Other 2 12%
Unknown 5 29%
Readers by discipline Count As %
Engineering 5 29%
Physics and Astronomy 3 18%
Unspecified 2 12%
Energy 1 6%
Unknown 6 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 04 May 2022.
All research outputs
#6,438,661
of 23,911,072 outputs
Outputs from Frontiers in Physics
#220
of 4,017 outputs
Outputs of similar age
#126,181
of 430,053 outputs
Outputs of similar age from Frontiers in Physics
#8
of 330 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,017 research outputs from this source. They receive a mean Attention Score of 2.4. This one has done particularly well, scoring higher than 94% 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 430,053 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 330 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.