| Title |
A Deep Learning-Based Facial Acne Classification System
|
|---|---|
| Published in |
Clinical, Cosmetic and Investigational Dermatology, May 2022
|
| DOI | 10.2147/ccid.s360450 |
| Pubmed ID | |
| Authors |
Andrea Quattrini, Claudio Boër, Tiziano Leidi, Rick Paydar |
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 % |
|---|---|---|
| France | 2 | 25% |
| Brazil | 1 | 13% |
| United States | 1 | 13% |
| Spain | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 16% |
| Other | 2 | 8% |
| Student > Postgraduate | 1 | 4% |
| Lecturer | 1 | 4% |
| Unknown | 17 | 68% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 4 | 16% |
| Computer Science | 2 | 8% |
| Medicine and Dentistry | 1 | 4% |
| Unknown | 18 | 72% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 24 October 2023.
All research outputs
#4,711,216
of 25,584,565 outputs
Outputs from Clinical, Cosmetic and Investigational Dermatology
#272
of 900 outputs
Outputs of similar age
#99,470
of 446,917 outputs
Outputs of similar age from Clinical, Cosmetic and Investigational Dermatology
#7
of 36 outputs
Altmetric has tracked 25,584,565 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 900 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.5. This one has gotten more attention than average, scoring higher than 69% 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 446,917 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.