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A review on dark channel prior based image dehazing algorithms

Overview of attention for article published in EURASIP Journal on Image and Video Processing, January 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
178 Dimensions

Readers on

mendeley
115 Mendeley
Title
A review on dark channel prior based image dehazing algorithms
Published in
EURASIP Journal on Image and Video Processing, January 2016
DOI 10.1186/s13640-016-0104-y
Authors

Sungmin Lee, Seokmin Yun, Ju-Hun Nam, Chee Sun Won, Seung-Won Jung

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 115 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 18%
Student > Master 14 12%
Researcher 13 11%
Student > Bachelor 10 9%
Student > Postgraduate 5 4%
Other 13 11%
Unknown 39 34%
Readers by discipline Count As %
Computer Science 39 34%
Engineering 22 19%
Mathematics 2 2%
Unspecified 2 2%
Earth and Planetary Sciences 2 2%
Other 5 4%
Unknown 43 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 February 2020.
All research outputs
#8,543,833
of 25,394,764 outputs
Outputs from EURASIP Journal on Image and Video Processing
#57
of 234 outputs
Outputs of similar age
#129,933
of 403,147 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#2
of 7 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 234 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 51% 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 403,147 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 53% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.