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Domain adaptive noise reduction with iterative knowledge transfer and style generalization learning

Overview of attention for article published in Medical Image Analysis, August 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet

Readers on

mendeley
5 Mendeley
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Title
Domain adaptive noise reduction with iterative knowledge transfer and style generalization learning
Published in
Medical Image Analysis, August 2024
DOI 10.1016/j.media.2024.103327
Pubmed ID
Authors

Yufei Tang, Tianling Lyu, Haoyang Jin, Qiang Du, Jiping Wang, Yunxiang Li, Ming Li, Yang Chen, Jian Zheng

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 40%
Unspecified 2 40%
Researcher 1 20%
Readers by discipline Count As %
Engineering 3 60%
Unspecified 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 September 2024.
All research outputs
#5,133,556
of 26,563,746 outputs
Outputs from Medical Image Analysis
#337
of 1,724 outputs
Outputs of similar age
#30,840
of 161,112 outputs
Outputs of similar age from Medical Image Analysis
#2
of 12 outputs
Altmetric has tracked 26,563,746 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,724 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 78% 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 161,112 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.