| Title |
Deep Learning Classifier with Patient’s Metadata of Dermoscopic Images in Malignant Melanoma Detection
|
|---|---|
| Published in |
Journal of Multidisciplinary Healthcare, April 2021
|
| DOI | 10.2147/jmdh.s306284 |
| Pubmed ID | |
| Authors |
Dina Nur Anggraini Ningrum, Sheng-Po Yuan, Woon-Man Kung, Chieh-Chen Wu, I-Shiang Tzeng, Chu-Ya Huang, Jack Yu-Chuan Li, Yao-Chin Wang |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 20% |
| United States | 2 | 13% |
| Spain | 1 | 7% |
| South Africa | 1 | 7% |
| United Kingdom | 1 | 7% |
| France | 1 | 7% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 87% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
| Scientists | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 8% |
| Student > Master | 5 | 6% |
| Other | 4 | 5% |
| Unspecified | 4 | 5% |
| Researcher | 4 | 5% |
| Other | 15 | 19% |
| Unknown | 42 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 19% |
| Engineering | 5 | 6% |
| Unspecified | 4 | 5% |
| Medicine and Dentistry | 4 | 5% |
| Business, Management and Accounting | 1 | 1% |
| Other | 8 | 10% |
| Unknown | 43 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 19 December 2021.
All research outputs
#2,328,461
of 23,885,338 outputs
Outputs from Journal of Multidisciplinary Healthcare
#75
of 886 outputs
Outputs of similar age
#61,309
of 428,057 outputs
Outputs of similar age from Journal of Multidisciplinary Healthcare
#4
of 40 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 886 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 91% 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 428,057 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 85% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.