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Mendeley readers
| Title |
Automated extraction of Biomarker information from pathology reports
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, May 2018
|
| DOI | 10.1186/s12911-018-0609-7 |
| Pubmed ID | |
| Authors |
Jeongeun Lee, Hyun-Je Song, Eunsil Yoon, Seong-Bae Park, Sung-Hye Park, Jeong-Wook Seo, Peom Park, Jinwook Choi |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 14% |
| Other | 7 | 11% |
| Student > Bachelor | 7 | 11% |
| Student > Master | 6 | 10% |
| Student > Ph. D. Student | 5 | 8% |
| Other | 8 | 13% |
| Unknown | 21 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 22% |
| Computer Science | 8 | 13% |
| Engineering | 4 | 6% |
| Business, Management and Accounting | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 24 | 38% |