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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Diagnosability of Keratoconus Using Deep Learning With Placido Disk-Based Corneal Topography
|
|---|---|
| Published in |
Frontiers in Medicine, October 2021
|
| DOI | 10.3389/fmed.2021.724902 |
| Pubmed ID | |
| Authors |
Kazutaka Kamiya, Yuji Ayatsuka, Yudai Kato, Nobuyuki Shoji, Yosai Mori, Kazunori Miyata |
X Demographics
The data shown below were collected from the profiles of 5 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 | 1 | 20% |
| Japan | 1 | 20% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 23% |
| Unspecified | 1 | 8% |
| Other | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Lecturer | 1 | 8% |
| Other | 2 | 15% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 54% |
| Unspecified | 1 | 8% |
| Engineering | 1 | 8% |
| Unknown | 4 | 31% |
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 05 October 2021.
All research outputs
#14,727,831
of 26,122,087 outputs
Outputs from Frontiers in Medicine
#2,469
of 7,411 outputs
Outputs of similar age
#183,661
of 441,328 outputs
Outputs of similar age from Frontiers in Medicine
#168
of 494 outputs
Altmetric has tracked 26,122,087 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 7,411 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one has gotten more attention than average, scoring higher than 66% 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 441,328 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 58% of its contemporaries.
We're also able to compare this research output to 494 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 65% of its contemporaries.