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Signal Enhancement of Low Magnetic Field Magnetic Resonance Image Using a Conventional- and Cyclic-Generative Adversarial Network Models With Unpaired Image Sets

Overview of attention for article published in Frontiers in oncology, May 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
15 Mendeley
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Title
Signal Enhancement of Low Magnetic Field Magnetic Resonance Image Using a Conventional- and Cyclic-Generative Adversarial Network Models With Unpaired Image Sets
Published in
Frontiers in oncology, May 2021
DOI 10.3389/fonc.2021.660284
Pubmed ID
Authors

Denis Yoo, Yuni Annette Choi, C. J. Rah, Eric Lee, Jing Cai, Byung Jun Min, Eun Ho Kim

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 20%
Student > Ph. D. Student 2 13%
Other 1 7%
Student > Master 1 7%
Student > Postgraduate 1 7%
Other 0 0%
Unknown 7 47%
Readers by discipline Count As %
Engineering 4 27%
Computer Science 1 7%
Design 1 7%
Unknown 9 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 October 2023.
All research outputs
#8,270,333
of 25,387,668 outputs
Outputs from Frontiers in oncology
#3,081
of 22,433 outputs
Outputs of similar age
#172,622
of 453,877 outputs
Outputs of similar age from Frontiers in oncology
#163
of 1,266 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 22,433 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 85% 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 453,877 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 61% of its contemporaries.
We're also able to compare this research output to 1,266 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.