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RAW Image Reconstruction Using a Self-contained sRGB–JPEG Image with Small Memory Overhead

Overview of attention for article published in International Journal of Computer Vision, December 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
45 Mendeley
Title
RAW Image Reconstruction Using a Self-contained sRGB–JPEG Image with Small Memory Overhead
Published in
International Journal of Computer Vision, December 2017
DOI 10.1007/s11263-017-1056-0
Pubmed ID
Authors

Rang M. H. Nguyen, Michael S. Brown

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Doctoral Student 4 9%
Student > Bachelor 4 9%
Student > Master 4 9%
Researcher 4 9%
Other 4 9%
Unknown 16 36%
Readers by discipline Count As %
Computer Science 19 42%
Engineering 6 13%
Agricultural and Biological Sciences 2 4%
Physics and Astronomy 2 4%
Earth and Planetary Sciences 1 2%
Other 0 0%
Unknown 15 33%
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 04 January 2018.
All research outputs
#13,225,036
of 23,015,156 outputs
Outputs from International Journal of Computer Vision
#811
of 1,163 outputs
Outputs of similar age
#209,183
of 439,952 outputs
Outputs of similar age from International Journal of Computer Vision
#7
of 8 outputs
Altmetric has tracked 23,015,156 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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 439,952 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 51% 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.