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Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words

Overview of attention for article published in International Journal of Computer Vision, March 2008
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

patent
15 patents

Citations

dimensions_citation
1188 Dimensions

Readers on

mendeley
643 Mendeley
citeulike
7 CiteULike
Title
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
Published in
International Journal of Computer Vision, March 2008
DOI 10.1007/s11263-007-0122-4
Authors

Juan Carlos Niebles, Hongcheng Wang, Li Fei-Fei

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 643 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 17 3%
United Kingdom 7 1%
Germany 6 <1%
France 6 <1%
China 5 <1%
Switzerland 3 <1%
Colombia 3 <1%
India 3 <1%
Canada 3 <1%
Other 26 4%
Unknown 564 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 207 32%
Student > Master 97 15%
Researcher 75 12%
Student > Doctoral Student 43 7%
Student > Bachelor 35 5%
Other 84 13%
Unknown 102 16%
Readers by discipline Count As %
Computer Science 365 57%
Engineering 87 14%
Psychology 11 2%
Agricultural and Biological Sciences 9 1%
Mathematics 7 1%
Other 39 6%
Unknown 125 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 05 May 2020.
All research outputs
#3,315,928
of 23,033,713 outputs
Outputs from International Journal of Computer Vision
#112
of 1,163 outputs
Outputs of similar age
#9,926
of 80,380 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 8 outputs
Altmetric has tracked 23,033,713 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 85% 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 80,380 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 84% 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. This one has scored higher than all of them