| Title |
High Throughput Sequencing and Proteomics to Identify Immunogenic Proteins of a New Pathogen: The Dirty Genome Approach
|
|---|---|
| Published in |
PLOS ONE, December 2009
|
| DOI | 10.1371/journal.pone.0008423 |
| Pubmed ID | |
| Authors |
Gilbert Greub, Carole Kebbi-Beghdadi, Claire Bertelli, François Collyn, Beat M. Riederer, Camille Yersin, Antony Croxatto, Didier Raoult |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 6% |
| France | 3 | 3% |
| Sweden | 1 | 1% |
| Belgium | 1 | 1% |
| Philippines | 1 | 1% |
| Unknown | 75 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 40% |
| Student > Ph. D. Student | 20 | 23% |
| Professor | 7 | 8% |
| Student > Master | 6 | 7% |
| Student > Postgraduate | 4 | 5% |
| Other | 12 | 14% |
| Unknown | 3 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 53 | 62% |
| Biochemistry, Genetics and Molecular Biology | 7 | 8% |
| Veterinary Science and Veterinary Medicine | 5 | 6% |
| Medicine and Dentistry | 5 | 6% |
| Environmental Science | 2 | 2% |
| Other | 6 | 7% |
| Unknown | 8 | 9% |