| Title |
Opportunities and Challenges: Classification of Skin Disease Based on Deep Learning
|
|---|---|
| Published in |
Chinese Journal of Mechanical Engineering, November 2021
|
| DOI | 10.1186/s10033-021-00629-5 |
| Authors |
Bin Zhang, Xue Zhou, Yichen Luo, Hao Zhang, Huayong Yang, Jien Ma, Liang Ma |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 11% |
| Student > Bachelor | 6 | 7% |
| Unspecified | 4 | 5% |
| Student > Doctoral Student | 4 | 5% |
| Student > Ph. D. Student | 3 | 4% |
| Other | 9 | 11% |
| Unknown | 49 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 18% |
| Engineering | 8 | 10% |
| Unspecified | 4 | 5% |
| Medicine and Dentistry | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 3 | 4% |
| Unknown | 49 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 November 2021.
All research outputs
#21,392,871
of 23,885,338 outputs
Outputs from Chinese Journal of Mechanical Engineering
#52
of 59 outputs
Outputs of similar age
#426,624
of 505,933 outputs
Outputs of similar age from Chinese Journal of Mechanical Engineering
#4
of 4 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 59 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 505,933 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.