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Mendeley readers
| Title |
Computer vision applied to dual-energy computed tomography images for precise calcinosis cutis quantification in patients with systemic sclerosis
|
|---|---|
| Published in |
Arthritis Research & Therapy, January 2021
|
| DOI | 10.1186/s13075-020-02392-9 |
| Pubmed ID | |
| Authors |
Anita C. Chandrasekaran, Zhicheng Fu, Reid Kraniski, F. Perry Wilson, Shannon Teaw, Michelle Cheng, Annie Wang, Shangping Ren, Imran M. Omar, Monique E. Hinchcliff |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 16% |
| Student > Ph. D. Student | 4 | 13% |
| Student > Master | 3 | 9% |
| Researcher | 3 | 9% |
| Student > Postgraduate | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 12 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 13% |
| Engineering | 3 | 9% |
| Computer Science | 3 | 9% |
| Unspecified | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 17 | 53% |