| 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 |
X Demographics
The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 43% |
| United Kingdom | 1 | 4% |
| Germany | 1 | 4% |
| Sri Lanka | 1 | 4% |
| Japan | 1 | 4% |
| Unknown | 9 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 83% |
| Scientists | 4 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 10,081 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 20 | <1% |
| United Kingdom | 14 | <1% |
| Germany | 12 | <1% |
| China | 8 | <1% |
| Spain | 7 | <1% |
| Japan | 6 | <1% |
| Denmark | 4 | <1% |
| India | 4 | <1% |
| France | 4 | <1% |
| Other | 35 | <1% |
| Unknown | 9967 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1942 | 19% |
| Student > Ph. D. Student | 1872 | 19% |
| Student > Bachelor | 1010 | 10% |
| Researcher | 824 | 8% |
| Student > Doctoral Student | 385 | 4% |
| Other | 1044 | 10% |
| Unknown | 3004 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3411 | 34% |
| Engineering | 1830 | 18% |
| Medicine and Dentistry | 215 | 2% |
| Agricultural and Biological Sciences | 195 | 2% |
| Physics and Astronomy | 134 | 1% |
| Other | 971 | 10% |
| Unknown | 3325 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 87. 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 09 April 2024.
All research outputs
#496,600
of 25,837,817 outputs
Outputs from International Journal of Computer Vision
#8
of 1,453 outputs
Outputs of similar age
#5,624
of 281,100 outputs
Outputs of similar age from International Journal of Computer Vision
#1
of 10 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,453 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 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 281,100 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 97% of its contemporaries.
We're also able to compare this research output to 10 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