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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated identification of retinopathy of prematurity by image-based deep learning
|
|---|---|
| Published in |
Eye and Vision, August 2020
|
| DOI | 10.1186/s40662-020-00206-2 |
| Pubmed ID | |
| Authors |
Yan Tong, Wei Lu, Qin-qin Deng, Changzheng Chen, Yin Shen |
X Demographics
The data shown below were collected from the profiles of 7 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 | 3 | 43% |
| Brazil | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 10% |
| Student > Master | 5 | 8% |
| Student > Doctoral Student | 5 | 8% |
| Student > Bachelor | 5 | 8% |
| Other | 3 | 5% |
| Other | 13 | 21% |
| Unknown | 24 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 23% |
| Medicine and Dentistry | 11 | 18% |
| Engineering | 3 | 5% |
| Agricultural and Biological Sciences | 2 | 3% |
| Unspecified | 1 | 2% |
| Other | 2 | 3% |
| Unknown | 28 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 13 August 2020.
All research outputs
#13,350,812
of 23,885,338 outputs
Outputs from Eye and Vision
#50
of 256 outputs
Outputs of similar age
#182,110
of 401,349 outputs
Outputs of similar age from Eye and Vision
#3
of 11 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 80% 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 401,349 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 53% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.