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A survey on GANs for computer vision: Recent research, analysis and taxonomy

Overview of attention for article published in Computer Science Review, May 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
83 Mendeley
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Title
A survey on GANs for computer vision: Recent research, analysis and taxonomy
Published in
Computer Science Review, May 2023
DOI 10.1016/j.cosrev.2023.100553
Authors

Guillermo Iglesias, Edgar Talavera, Alberto Díaz-Álvarez

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

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 13%
Student > Master 9 11%
Unspecified 6 7%
Researcher 6 7%
Lecturer 4 5%
Other 6 7%
Unknown 41 49%
Readers by discipline Count As %
Computer Science 23 28%
Unspecified 6 7%
Engineering 6 7%
Business, Management and Accounting 2 2%
Design 2 2%
Other 3 4%
Unknown 41 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 March 2023.
All research outputs
#8,544,090
of 25,394,764 outputs
Outputs from Computer Science Review
#54
of 145 outputs
Outputs of similar age
#147,975
of 407,379 outputs
Outputs of similar age from Computer Science Review
#2
of 3 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 145 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 40th percentile – i.e., 40% 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 407,379 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 60% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.