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Using Adaptive Tone Mapping to Enhance Edge-Preserving Color Image Automatically

Overview of attention for article published in EURASIP Journal on Image & Video Processing, January 2010
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About this Attention Score

  • Among the highest-scoring outputs from this source (#12 of 113)
  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

patent
1 patent

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
6 Mendeley
Title
Using Adaptive Tone Mapping to Enhance Edge-Preserving Color Image Automatically
Published in
EURASIP Journal on Image & Video Processing, January 2010
DOI 10.1155/2010/137134
Authors

Kuo-Jui Hu, Min-Yao Lu, Je-Chuang Wang, Tao-I Hsu, Ting-Ting Chang

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Other 2 33%
Unspecified 1 17%
Researcher 1 17%
Student > Ph. D. Student 1 17%
Unknown 1 17%
Readers by discipline Count As %
Engineering 3 50%
Computer Science 1 17%
Unspecified 1 17%
Unknown 1 17%

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 12 May 2015.
All research outputs
#2,956,643
of 11,029,749 outputs
Outputs from EURASIP Journal on Image & Video Processing
#12
of 113 outputs
Outputs of similar age
#32,713
of 99,795 outputs
Outputs of similar age from EURASIP Journal on Image & Video Processing
#2
of 8 outputs
Altmetric has tracked 11,029,749 research outputs across all sources so far. This one has received more attention than most of these and is in the 51st percentile.
So far Altmetric has tracked 113 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 73% 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 99,795 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 66% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.