| Title |
Large scale image annotation: learning to rank with joint word-image embeddings
|
|---|---|
| Published in |
Machine Learning, July 2010
|
| DOI | 10.1007/s10994-010-5198-3 |
| Authors |
Jason Weston, Samy Bengio, Nicolas Usunier |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 379 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 3% |
| France | 5 | 1% |
| United Kingdom | 5 | 1% |
| Japan | 4 | 1% |
| Colombia | 4 | 1% |
| Germany | 3 | <1% |
| Spain | 2 | <1% |
| Switzerland | 2 | <1% |
| Canada | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 337 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 109 | 29% |
| Researcher | 66 | 17% |
| Student > Master | 61 | 16% |
| Student > Bachelor | 29 | 8% |
| Other | 18 | 5% |
| Other | 47 | 12% |
| Unknown | 49 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 254 | 67% |
| Engineering | 23 | 6% |
| Mathematics | 8 | 2% |
| Agricultural and Biological Sciences | 4 | 1% |
| Biochemistry, Genetics and Molecular Biology | 3 | <1% |
| Other | 30 | 8% |
| Unknown | 57 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 12 September 2023.
All research outputs
#2,367,575
of 23,445,423 outputs
Outputs from Machine Learning
#59
of 1,005 outputs
Outputs of similar age
#8,730
of 95,549 outputs
Outputs of similar age from Machine Learning
#1
of 7 outputs
Altmetric has tracked 23,445,423 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,005 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 94% 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 95,549 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 90% of its contemporaries.
We're also able to compare this research output to 7 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