| Title |
Quantitative Predictions of Peptide Binding to Any HLA-DR Molecule of Known Sequence: NetMHCIIpan
|
|---|---|
| Published in |
PLoS Computational Biology, July 2008
|
| DOI | 10.1371/journal.pcbi.1000107 |
| Pubmed ID | |
| Authors |
Morten Nielsen, Claus Lundegaard, Thomas Blicher, Bjoern Peters, Alessandro Sette, Sune Justesen, Søren Buus, Ole Lund |
Mendeley readers
The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 1% |
| Canada | 3 | 1% |
| Denmark | 2 | <1% |
| United States | 2 | <1% |
| Argentina | 2 | <1% |
| Ireland | 1 | <1% |
| Italy | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Malaysia | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 249 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 58 | 22% |
| Student > Ph. D. Student | 51 | 19% |
| Student > Master | 31 | 12% |
| Student > Bachelor | 28 | 10% |
| Other | 19 | 7% |
| Other | 39 | 15% |
| Unknown | 41 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 84 | 31% |
| Biochemistry, Genetics and Molecular Biology | 39 | 15% |
| Computer Science | 23 | 9% |
| Immunology and Microbiology | 21 | 8% |
| Medicine and Dentistry | 19 | 7% |
| Other | 36 | 13% |
| Unknown | 45 | 17% |