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Improved BM3D image denoising using SSIM-optimized Wiener filter

Overview of attention for article published in EURASIP Journal on Image and Video Processing, April 2018
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About this Attention Score

  • Among the highest-scoring outputs from this source (#35 of 233)
  • Good Attention Score compared to outputs of the same age (67th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
62 Dimensions

Readers on

mendeley
32 Mendeley
Title
Improved BM3D image denoising using SSIM-optimized Wiener filter
Published in
EURASIP Journal on Image and Video Processing, April 2018
DOI 10.1186/s13640-018-0264-z
Pubmed ID
Authors

Mahmud Hasan, Mahmoud R. El-Sakka

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 > Ph. D. Student 9 28%
Student > Master 3 9%
Student > Bachelor 1 3%
Lecturer 1 3%
Professor > Associate Professor 1 3%
Other 1 3%
Unknown 16 50%
Readers by discipline Count As %
Computer Science 6 19%
Engineering 5 16%
Neuroscience 2 6%
Business, Management and Accounting 1 3%
Mathematics 1 3%
Other 0 0%
Unknown 17 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 July 2020.
All research outputs
#6,600,606
of 25,382,440 outputs
Outputs from EURASIP Journal on Image and Video Processing
#35
of 233 outputs
Outputs of similar age
#106,692
of 340,618 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#2
of 12 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 233 research outputs from this source. They receive a mean Attention Score of 2.9. 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 340,618 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 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.