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Non-uniform Deblurring for Shaken Images

Overview of attention for article published in International Journal of Computer Vision, October 2011
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
182 Dimensions

Readers on

mendeley
226 Mendeley
Title
Non-uniform Deblurring for Shaken Images
Published in
International Journal of Computer Vision, October 2011
DOI 10.1007/s11263-011-0502-7
Authors

Oliver Whyte, Josef Sivic, Andrew Zisserman, Jean Ponce

Mendeley readers

The data shown below were compiled from readership statistics for 226 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
China 6 3%
France 4 2%
United Kingdom 3 1%
Germany 2 <1%
Finland 1 <1%
Brazil 1 <1%
Turkey 1 <1%
Spain 1 <1%
Other 5 2%
Unknown 195 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 99 44%
Student > Master 45 20%
Researcher 28 12%
Professor > Associate Professor 10 4%
Student > Bachelor 8 4%
Other 36 16%
Readers by discipline Count As %
Computer Science 137 61%
Engineering 65 29%
Unspecified 10 4%
Physics and Astronomy 7 3%
Mathematics 4 2%
Other 3 1%

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 June 2018.
All research outputs
#3,850,405
of 13,055,201 outputs
Outputs from International Journal of Computer Vision
#231
of 650 outputs
Outputs of similar age
#103,105
of 271,457 outputs
Outputs of similar age from International Journal of Computer Vision
#3
of 7 outputs
Altmetric has tracked 13,055,201 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 650 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 15th percentile – i.e., 15% 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 271,457 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 60% 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 4 of them.