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Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain

Overview of attention for article published in IEEE Transactions on Neural Networks and Learning Systems, October 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#47 of 3,398)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
2 news outlets
twitter
2 X users

Citations

dimensions_citation
119 Dimensions

Readers on

mendeley
32 Mendeley
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Title
Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain
Published in
IEEE Transactions on Neural Networks and Learning Systems, October 2023
DOI 10.1109/tnnls.2022.3153088
Pubmed ID
Authors

Senrong You, Baiying Lei, Shuqiang Wang, Charles K. Chui, Albert C. Cheung, Yong Liu, Min Gan, Guocheng Wu, Yanyan Shen

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 9%
Lecturer 3 9%
Student > Bachelor 2 6%
Researcher 2 6%
Student > Ph. D. Student 2 6%
Other 5 16%
Unknown 15 47%
Readers by discipline Count As %
Computer Science 7 22%
Engineering 3 9%
Unspecified 1 3%
Psychology 1 3%
Agricultural and Biological Sciences 1 3%
Other 2 6%
Unknown 17 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 12 April 2022.
All research outputs
#2,149,412
of 25,392,582 outputs
Outputs from IEEE Transactions on Neural Networks and Learning Systems
#47
of 3,398 outputs
Outputs of similar age
#34,773
of 356,948 outputs
Outputs of similar age from IEEE Transactions on Neural Networks and Learning Systems
#2
of 249 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,398 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done particularly well, scoring higher than 98% 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 356,948 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 249 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 99% of its contemporaries.