The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Title |
Deep skin diseases diagnostic system with Dual-channel Image and Extracted Text
|
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Published in |
Frontiers in Artificial Intelligence, October 2023
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DOI | 10.3389/frai.2023.1213620 |
Pubmed ID | |
Authors |
Huanyu Li, Peng Zhang, Zikun Wei, Tian Qian, Yiqi Tang, Kun Hu, Xianqiong Huang, Xinxin Xia, Yishuang Zhang, Haixing Cheng, Fubing Yu, Wenjia Zhang, Kena Dan, Xuan Liu, Shujun Ye, Guangqiao He, Xia Jiang, Liwei Liu, Yukun Fan, Tingting Song, Guomin Zhou, Ziyi Wang, Daojun Zhang, Junwei Lv |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
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 % |
---|---|---|
Unspecified | 2 | 29% |
Librarian | 1 | 14% |
Researcher | 1 | 14% |
Student > Doctoral Student | 1 | 14% |
Student > Master | 1 | 14% |
Other | 0 | 0% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 3 | 43% |
Computer Science | 1 | 14% |
Medicine and Dentistry | 1 | 14% |
Engineering | 1 | 14% |
Unknown | 1 | 14% |