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Image Classification with the Fisher Vector: Theory and Practice

Overview of attention for article published in International Journal of Computer Vision, June 2013
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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 (89th percentile)

Mentioned by

twitter
4 X users
patent
10 patents

Citations

dimensions_citation
1240 Dimensions

Readers on

mendeley
689 Mendeley
citeulike
1 CiteULike
Title
Image Classification with the Fisher Vector: Theory and Practice
Published in
International Journal of Computer Vision, June 2013
DOI 10.1007/s11263-013-0636-x
Authors

Jorge Sánchez, Florent Perronnin, Thomas Mensink, Jakob Verbeek

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 689 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 <1%
France 5 <1%
United Kingdom 5 <1%
Japan 4 <1%
United States 3 <1%
Spain 3 <1%
Italy 3 <1%
Turkey 2 <1%
Netherlands 2 <1%
Other 7 1%
Unknown 650 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 198 29%
Student > Master 124 18%
Researcher 84 12%
Student > Bachelor 56 8%
Student > Postgraduate 28 4%
Other 94 14%
Unknown 105 15%
Readers by discipline Count As %
Computer Science 389 56%
Engineering 121 18%
Mathematics 10 1%
Agricultural and Biological Sciences 7 1%
Earth and Planetary Sciences 7 1%
Other 31 4%
Unknown 124 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 14 December 2023.
All research outputs
#2,440,175
of 25,097,836 outputs
Outputs from International Journal of Computer Vision
#59
of 1,365 outputs
Outputs of similar age
#20,155
of 202,595 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 4 outputs
Altmetric has tracked 25,097,836 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,365 research outputs from this source. They receive a mean Attention Score of 4.9. 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 202,595 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 4 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