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Constrained and SNR-Based Solutions for TV-Hilbert Space Image Denoising

Overview of attention for article published in Journal of Mathematical Imaging and Vision, August 2006
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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 (#19 of 302)
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
23 Mendeley
citeulike
1 CiteULike
Title
Constrained and SNR-Based Solutions for TV-Hilbert Space Image Denoising
Published in
Journal of Mathematical Imaging and Vision, August 2006
DOI 10.1007/s10851-006-7801-6
Authors

Jean-François Aujol, Guy Gilboa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 4%
France 1 4%
Austria 1 4%
Unknown 20 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 35%
Researcher 5 22%
Professor 4 17%
Student > Master 4 17%
Unknown 2 9%
Readers by discipline Count As %
Engineering 9 39%
Computer Science 8 35%
Mathematics 3 13%
Physics and Astronomy 2 9%
Unknown 1 4%
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 22 November 2016.
All research outputs
#4,761,657
of 23,041,514 outputs
Outputs from Journal of Mathematical Imaging and Vision
#19
of 302 outputs
Outputs of similar age
#12,119
of 66,616 outputs
Outputs of similar age from Journal of Mathematical Imaging and Vision
#1
of 9 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 302 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 88% 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 66,616 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 72% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them