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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 (#4 of 581)
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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

Readers on

mendeley
2552 Mendeley
citeulike
7 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 2,552 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 22 <1%
United Kingdom 14 <1%
Germany 12 <1%
China 10 <1%
Spain 8 <1%
Japan 7 <1%
France 6 <1%
Denmark 5 <1%
Italy 4 <1%
Other 36 1%
Unknown 2428 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 714 28%
Student > Master 676 26%
Researcher 330 13%
Student > Bachelor 303 12%
Student > Doctoral Student 119 5%
Other 410 16%
Readers by discipline Count As %
Computer Science 1419 56%
Engineering 555 22%
Unspecified 175 7%
Agricultural and Biological Sciences 72 3%
Physics and Astronomy 54 2%
Other 277 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 18 July 2018.
All research outputs
#398,114
of 11,498,541 outputs
Outputs from International Journal of Computer Vision
#4
of 581 outputs
Outputs of similar age
#11,709
of 210,702 outputs
Outputs of similar age from International Journal of Computer Vision
#3
of 5 outputs
Altmetric has tracked 11,498,541 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 581 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 99% 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 210,702 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 2 of them.