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Deep learning approaches in flow visualization

Overview of attention for article published in Advances in Aerodynamics, April 2022
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Mentioned by

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1 X user

Citations

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9 Dimensions

Readers on

mendeley
11 Mendeley
Title
Deep learning approaches in flow visualization
Published in
Advances in Aerodynamics, April 2022
DOI 10.1186/s42774-022-00113-1
Authors

Can Liu, Ruike Jiang, Datong Wei, Changhe Yang, Yanda Li, Fang Wang, Xiaoru Yuan

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

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 36%
Student > Ph. D. Student 2 18%
Student > Postgraduate 1 9%
Unknown 4 36%
Readers by discipline Count As %
Engineering 3 27%
Computer Science 1 9%
Physics and Astronomy 1 9%
Psychology 1 9%
Unknown 5 45%
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 April 2022.
All research outputs
#19,148,540
of 23,730,866 outputs
Outputs from Advances in Aerodynamics
#1
of 1 outputs
Outputs of similar age
#317,892
of 444,552 outputs
Outputs of similar age from Advances in Aerodynamics
#1
of 1 outputs
Altmetric has tracked 23,730,866 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 444,552 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% 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