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Mendeley readers
| Title |
Automatic detection of patients with invasive fungal disease from free-text computed tomography (CT) scans
|
|---|---|
| Published in |
Journal of Biomedical Informatics, November 2014
|
| DOI | 10.1016/j.jbi.2014.11.009 |
| Pubmed ID | |
| Authors |
David Martinez, Michelle R. Ananda-Rajah, Hanna Suominen, Monica A. Slavin, Karin A. Thursky, Lawrence Cavedon |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 92 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 22% |
| Student > Bachelor | 14 | 15% |
| Student > Master | 12 | 13% |
| Researcher | 8 | 9% |
| Student > Doctoral Student | 6 | 6% |
| Other | 11 | 12% |
| Unknown | 22 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 26% |
| Medicine and Dentistry | 18 | 19% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Nursing and Health Professions | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 12 | 13% |
| Unknown | 28 | 30% |