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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Interpreting vision and language generative models with semantic visual priors
|
|---|---|
| Published in |
arXiv, September 2023
|
| DOI | 10.3389/frai.2023.1220476 |
| Pubmed ID | |
| Authors |
Michele Cafagna, Lina M. Rojas-Barahona, Kees van Deemter, Albert Gatt |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 7% |
| Germany | 1 | 7% |
| Switzerland | 1 | 7% |
| United States | 1 | 7% |
| Malta | 1 | 7% |
| Japan | 1 | 7% |
| Unknown | 9 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 73% |
| Scientists | 4 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Researcher | 1 | 25% |
| Student > Doctoral Student | 1 | 25% |
| Unknown | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 75% |
| Unknown | 1 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 11 November 2023.
All research outputs
#3,836,316
of 25,729,842 outputs
Outputs from arXiv
#64,020
of 941,075 outputs
Outputs of similar age
#61,922
of 357,385 outputs
Outputs of similar age from arXiv
#2,219
of 34,837 outputs
Altmetric has tracked 25,729,842 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 941,075 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 93% 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 357,385 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 34,837 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 93% of its contemporaries.