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Mendeley readers
| Title |
A novel computational method for automatic segmentation, quantification and comparative analysis of immunohistochemically labeled tissue sections
|
|---|---|
| Published in |
BMC Bioinformatics, October 2018
|
| DOI | 10.1186/s12859-018-2302-3 |
| Pubmed ID | |
| Authors |
Elena Casiraghi, Veronica Huber, Marco Frasca, Mara Cossa, Matteo Tozzi, Licia Rivoltini, Biagio Eugenio Leone, Antonello Villa, Barbara Vergani |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 19% |
| Researcher | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Doctoral Student | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 11 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 19% |
| Medicine and Dentistry | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Engineering | 3 | 8% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 11 | 31% |