| Title |
A Mathematical Framework for the Selection of an Optimal Set of Peptides for Epitope-Based Vaccines
|
|---|---|
| Published in |
PLoS Computational Biology, December 2008
|
| DOI | 10.1371/journal.pcbi.1000246 |
| Pubmed ID | |
| Authors |
Nora C. Toussaint, Pierre Dönnes, Oliver Kohlbacher |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Germany | 1 | 2% |
| Ireland | 1 | 2% |
| Brazil | 1 | 2% |
| Argentina | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 60 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 32% |
| Student > Ph. D. Student | 13 | 20% |
| Student > Master | 8 | 12% |
| Student > Doctoral Student | 5 | 8% |
| Student > Bachelor | 4 | 6% |
| Other | 13 | 20% |
| Unknown | 2 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 42% |
| Computer Science | 13 | 20% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Chemistry | 4 | 6% |
| Immunology and Microbiology | 3 | 5% |
| Other | 10 | 15% |
| Unknown | 2 | 3% |