The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Mendeley readers
| Title |
Computational models of melanoma
|
|---|---|
| Published in |
Theoretical Biology and Medical Modelling, May 2020
|
| DOI | 10.1186/s12976-020-00126-7 |
| Pubmed ID | |
| Authors |
Marco Albrecht, Philippe Lucarelli, Dagmar Kulms, Thomas Sauter |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Bachelor | 3 | 9% |
| Student > Master | 3 | 9% |
| Librarian | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 12 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Computer Science | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Mathematics | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 15 | 44% |