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Mendeley readers
| Title |
Machine learning-based prediction model for responses of bDMARDs in patients with rheumatoid arthritis and ankylosing spondylitis
|
|---|---|
| Published in |
Arthritis Research & Therapy, October 2021
|
| DOI | 10.1186/s13075-021-02635-3 |
| Pubmed ID | |
| Authors |
Seulkee Lee, Seonyoung Kang, Yeonghee Eun, Hong-Hee Won, Hyungjin Kim, Jaejoon Lee, Eun-Mi Koh, Hoon-Suk Cha |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 14% |
| Student > Bachelor | 4 | 14% |
| Student > Doctoral Student | 3 | 11% |
| Lecturer | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 3 | 11% |
| Unknown | 10 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 29% |
| Mathematics | 3 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Unspecified | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 11 | 39% |