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Mendeley readers
| Title |
Image set for deep learning: field images of maize annotated with disease symptoms
|
|---|---|
| Published in |
BMC Research Notes, July 2018
|
| DOI | 10.1186/s13104-018-3548-6 |
| Pubmed ID | |
| Authors |
Tyr Wiesner-Hanks, Ethan L. Stewart, Nicholas Kaczmar, Chad DeChant, Harvey Wu, Rebecca J. Nelson, Hod Lipson, Michael A. Gore |
Mendeley readers
The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 200 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 17% |
| Student > Master | 19 | 10% |
| Student > Bachelor | 14 | 7% |
| Researcher | 13 | 7% |
| Lecturer | 11 | 6% |
| Other | 30 | 15% |
| Unknown | 80 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 23% |
| Agricultural and Biological Sciences | 29 | 14% |
| Engineering | 21 | 11% |
| Psychology | 2 | 1% |
| Earth and Planetary Sciences | 2 | 1% |
| Other | 8 | 4% |
| Unknown | 93 | 47% |