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A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients

Overview of attention for article published in International Journal of Computer Vision, October 2000
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
1 X user
patent
12 patents
wikipedia
7 Wikipedia pages

Citations

dimensions_citation
1386 Dimensions

Readers on

mendeley
885 Mendeley
citeulike
6 CiteULike
Title
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
Published in
International Journal of Computer Vision, October 2000
DOI 10.1023/a:1026553619983
Authors

Javier Portilla, Eero P. Simoncelli

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 885 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 32 4%
France 10 1%
Germany 5 <1%
Canada 5 <1%
United Kingdom 5 <1%
Netherlands 3 <1%
Italy 3 <1%
Belgium 3 <1%
Hong Kong 2 <1%
Other 18 2%
Unknown 799 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 270 31%
Researcher 175 20%
Student > Master 109 12%
Student > Bachelor 62 7%
Professor > Associate Professor 50 6%
Other 124 14%
Unknown 95 11%
Readers by discipline Count As %
Computer Science 253 29%
Engineering 146 16%
Psychology 114 13%
Neuroscience 88 10%
Agricultural and Biological Sciences 76 9%
Other 91 10%
Unknown 117 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 16 February 2024.
All research outputs
#2,663,205
of 25,425,223 outputs
Outputs from International Journal of Computer Vision
#67
of 1,422 outputs
Outputs of similar age
#2,120
of 38,880 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 7 outputs
Altmetric has tracked 25,425,223 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,422 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 95% 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 38,880 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% 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 all of them