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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating the utility of deep learning for predicting therapeutic response in diabetic eye disease
|
|---|---|
| Published in |
Frontiers in Ophthalmology, August 2022
|
| DOI | 10.3389/fopht.2022.852107 |
| Pubmed ID | |
| Authors |
Vincent Dong, Duriye Damla Sevgi, Sudeshna Sil Kar, Sunil K. Srivastava, Justis P. Ehlers, Anant Madabhushi |
X Demographics
The data shown below were collected from the profiles of 8 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 | 38% |
| Switzerland | 1 | 13% |
| Canada | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 29% |
| Student > Ph. D. Student | 1 | 14% |
| Other | 1 | 14% |
| Unknown | 3 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 1 | 14% |
| Computer Science | 1 | 14% |
| Engineering | 1 | 14% |
| Unknown | 4 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 14 August 2022.
All research outputs
#7,174,723
of 25,992,468 outputs
Outputs from Frontiers in Ophthalmology
#1
of 1 outputs
Outputs of similar age
#126,236
of 435,698 outputs
Outputs of similar age from Frontiers in Ophthalmology
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 4.7. This one scored the same or higher as 0 of them.
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 435,698 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 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them