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ImageNet Large Scale Visual Recognition Challenge

Overview of attention for article published in International Journal of Computer Vision, April 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#6 of 650)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

news
1 news outlet
twitter
29 tweeters
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4921 Dimensions

Readers on

mendeley
3715 Mendeley
citeulike
3 CiteULike
Title
ImageNet Large Scale Visual Recognition Challenge
Published in
International Journal of Computer Vision, April 2015
DOI 10.1007/s11263-015-0816-y
Authors

Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, Li Fei-Fei

Twitter Demographics

The data shown below were collected from the profiles of 29 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3,715 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 <1%
United Kingdom 12 <1%
Germany 12 <1%
China 9 <1%
Japan 7 <1%
France 6 <1%
Spain 6 <1%
India 4 <1%
Denmark 4 <1%
Other 34 <1%
Unknown 3600 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 965 26%
Student > Master 954 26%
Student > Bachelor 435 12%
Researcher 428 12%
Unspecified 362 10%
Other 571 15%
Readers by discipline Count As %
Computer Science 1859 50%
Engineering 802 22%
Unspecified 470 13%
Agricultural and Biological Sciences 100 3%
Medicine and Dentistry 83 2%
Other 401 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 August 2018.
All research outputs
#524,924
of 13,127,824 outputs
Outputs from International Journal of Computer Vision
#6
of 650 outputs
Outputs of similar age
#12,403
of 223,432 outputs
Outputs of similar age from International Journal of Computer Vision
#2
of 5 outputs
Altmetric has tracked 13,127,824 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 650 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 98% 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 223,432 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.