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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Improving visual-semantic embeddings by learning semantically-enhanced hard negatives for cross-modal information retrieval
|
|---|---|
| Published in |
Pattern Recognition, May 2023
|
| DOI | 10.1016/j.patcog.2022.109272 |
| Authors |
Yan Gong, Georgina Cosma |
Twitter Demographics
The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 11% |
| United Kingdom | 1 | 11% |
| Brazil | 1 | 11% |
| Japan | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 10 | 67% |
| Lecturer | 1 | 7% |
| Student > Master | 1 | 7% |
| Unknown | 3 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 10 | 67% |
| Computer Science | 2 | 13% |
| Unknown | 3 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 14 February 2023.
All research outputs
#6,449,651
of 24,093,053 outputs
Outputs from Pattern Recognition
#726
of 2,727 outputs
Outputs of similar age
#108,997
of 384,610 outputs
Outputs of similar age from Pattern Recognition
#4
of 30 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,727 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 73% 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 384,610 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.