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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Impact of Artificial Intelligence and Deep Learning in Eye Diseases: A Review
|
|---|---|
| Published in |
Frontiers in Medicine, August 2021
|
| DOI | 10.3389/fmed.2021.710329 |
| Pubmed ID | |
| Authors |
Raffaele Nuzzi, Giacomo Boscia, Paola Marolo, Federico Ricardi |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Nigeria | 1 | 9% |
| Italy | 1 | 9% |
| United Kingdom | 1 | 9% |
| Mexico | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 6 | 55% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Science communicators (journalists, bloggers, editors) | 3 | 27% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 10% |
| Researcher | 5 | 6% |
| Student > Bachelor | 5 | 6% |
| Unspecified | 3 | 4% |
| Other | 3 | 4% |
| Other | 11 | 14% |
| Unknown | 45 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 10% |
| Medicine and Dentistry | 7 | 9% |
| Engineering | 4 | 5% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Unspecified | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 47 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 20 September 2021.
All research outputs
#6,287,125
of 25,155,561 outputs
Outputs from Frontiers in Medicine
#1,571
of 7,024 outputs
Outputs of similar age
#117,419
of 423,768 outputs
Outputs of similar age from Frontiers in Medicine
#115
of 448 outputs
Altmetric has tracked 25,155,561 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,024 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.7. This one has done well, scoring higher than 77% 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 423,768 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 72% of its contemporaries.
We're also able to compare this research output to 448 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.