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Mendeley readers
| Title |
ki67 nuclei detection and ki67-index estimation: a novel automatic approach based on human vision modeling
|
|---|---|
| Published in |
BMC Bioinformatics, December 2019
|
| DOI | 10.1186/s12859-019-3285-4 |
| Pubmed ID | |
| Authors |
Barbara Rita Barricelli, Elena Casiraghi, Jessica Gliozzo, Veronica Huber, Biagio Eugenio Leone, Alessandro Rizzi, Barbara Vergani |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 17% |
| Student > Master | 6 | 15% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Other | 2 | 5% |
| Unknown | 15 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 12% |
| Medicine and Dentistry | 4 | 10% |
| Engineering | 3 | 7% |
| Immunology and Microbiology | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 6 | 15% |
| Unknown | 18 | 44% |