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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Convolutional neural network-based skin image segmentation model to improve classification of skin diseases in conventional and non-standardized picture images
|
|---|---|
| Published in |
Journal of Dermatological Science, January 2023
|
| DOI | 10.1016/j.jdermsci.2023.01.005 |
| Pubmed ID | |
| Authors |
Yuta Yanagisawa, Kosuke Shido, Kaname Kojima, Kenshi Yamasaki |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 25% |
| India | 1 | 6% |
| Unknown | 11 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 88% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Other | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Student > Ph. D. Student | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 18 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 11% |
| Engineering | 2 | 7% |
| Medicine and Dentistry | 1 | 4% |
| Unknown | 21 | 78% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 March 2023.
All research outputs
#1,606,816
of 25,738,558 outputs
Outputs from Journal of Dermatological Science
#34
of 1,256 outputs
Outputs of similar age
#34,235
of 479,537 outputs
Outputs of similar age from Journal of Dermatological Science
#1
of 10 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 97% 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 479,537 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 10 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