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A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)

Overview of attention for article published in Journal of Scientific Computing, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 756)
  • 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

blogs
1 blog

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
19 Mendeley
Title
A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT)
Published in
Journal of Scientific Computing, March 2017
DOI 10.1007/s10915-017-0402-2
Authors

Xiaohao Cai, Raymond Chan, Mila Nikolova, Tieyong Zeng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Researcher 3 16%
Professor 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 1 5%
Unknown 8 42%
Readers by discipline Count As %
Computer Science 5 26%
Mathematics 3 16%
Engineering 2 11%
Physics and Astronomy 1 5%
Unknown 8 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 25 June 2018.
All research outputs
#3,327,575
of 23,092,602 outputs
Outputs from Journal of Scientific Computing
#4
of 756 outputs
Outputs of similar age
#63,423
of 308,050 outputs
Outputs of similar age from Journal of Scientific Computing
#1
of 6 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 756 research outputs from this source. They receive a mean Attention Score of 0.8. This one has done particularly well, scoring higher than 99% 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 308,050 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 6 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