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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography
|
|---|---|
| Published in |
BMC Ophthalmology, October 2020
|
| DOI | 10.1186/s12886-020-01657-w |
| Pubmed ID | |
| Authors |
Baek Hwan Cho, Da Young Lee, Kyung-Ah Park, Sei Yeul Oh, Jong Hak Moon, Ga-In Lee, Hoon Noh, Joon Kyo Chung, Min Chae Kang, Myung Jin Chung |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Netherlands | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 14% |
| Researcher | 4 | 14% |
| Student > Ph. D. Student | 4 | 14% |
| Other | 2 | 7% |
| Lecturer | 1 | 4% |
| Other | 4 | 14% |
| Unknown | 9 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 21% |
| Medicine and Dentistry | 6 | 21% |
| Social Sciences | 2 | 7% |
| Engineering | 2 | 7% |
| Neuroscience | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 10 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 October 2020.
All research outputs
#15,638,296
of 23,248,929 outputs
Outputs from BMC Ophthalmology
#853
of 2,444 outputs
Outputs of similar age
#257,086
of 415,916 outputs
Outputs of similar age from BMC Ophthalmology
#38
of 117 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,444 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 54% 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 415,916 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 117 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 63% of its contemporaries.