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Super-resolution via a fast deconvolution with kernel estimation

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

  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
1 patent

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
13 Mendeley
Title
Super-resolution via a fast deconvolution with kernel estimation
Published in
EURASIP Journal on Image and Video Processing, July 2016
DOI 10.1186/s13640-016-0125-6
Authors

Han Yu, Ting-Zhu Huang, Liang-Jian Deng, Xi-Le Zhao

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Master 3 23%
Unspecified 1 8%
Professor 1 8%
Other 1 8%
Other 2 15%
Unknown 1 8%
Readers by discipline Count As %
Engineering 6 46%
Computer Science 2 15%
Unspecified 1 8%
Mathematics 1 8%
Social Sciences 1 8%
Other 1 8%
Unknown 1 8%
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 27 December 2019.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from EURASIP Journal on Image and Video Processing
#56
of 233 outputs
Outputs of similar age
#136,978
of 379,943 outputs
Outputs of similar age from EURASIP Journal on Image and Video Processing
#1
of 2 outputs
Altmetric has tracked 25,374,647 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 233 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 379,943 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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