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Realistic River Image Synthesis Using Deep Generative Adversarial Networks

Overview of attention for article published in Frontiers in Water, February 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
7 X users

Readers on

mendeley
35 Mendeley
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Title
Realistic River Image Synthesis Using Deep Generative Adversarial Networks
Published in
Frontiers in Water, February 2022
DOI 10.3389/frwa.2022.784441
Authors

Akshat Gautam, Muhammed Sit, Ibrahim Demir

Timeline

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

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Student > Master 4 11%
Professor 2 6%
Researcher 2 6%
Other 1 3%
Other 0 0%
Unknown 20 57%
Readers by discipline Count As %
Computer Science 6 17%
Engineering 3 9%
Environmental Science 2 6%
Earth and Planetary Sciences 2 6%
Agricultural and Biological Sciences 1 3%
Other 0 0%
Unknown 21 60%
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 11 March 2022.
All research outputs
#7,620,177
of 26,364,993 outputs
Outputs from Frontiers in Water
#124
of 784 outputs
Outputs of similar age
#148,704
of 458,499 outputs
Outputs of similar age from Frontiers in Water
#7
of 65 outputs
Altmetric has tracked 26,364,993 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 784 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 83% 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 458,499 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 67% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.