| Title |
Development of a Low Bias Method for Characterizing Viral Populations Using Next Generation Sequencing Technology
|
|---|---|
| Published in |
PLOS ONE, October 2010
|
| DOI | 10.1371/journal.pone.0013564 |
| Pubmed ID | |
| Authors |
Stephanie M. Willerth, Hélder A. M. Pedro, Lior Pachter, Laurent M. Humeau, Adam P. Arkin, David V. Schaffer |
Mendeley readers
The data shown below were compiled from readership statistics for 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 6% |
| Canada | 2 | 2% |
| United Kingdom | 2 | 2% |
| Netherlands | 1 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Turkey | 1 | <1% |
| South Africa | 1 | <1% |
| Brazil | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 108 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 41 | 31% |
| Student > Ph. D. Student | 40 | 31% |
| Other | 12 | 9% |
| Student > Bachelor | 8 | 6% |
| Professor | 7 | 5% |
| Other | 17 | 13% |
| Unknown | 6 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 69 | 53% |
| Medicine and Dentistry | 16 | 12% |
| Biochemistry, Genetics and Molecular Biology | 12 | 9% |
| Engineering | 7 | 5% |
| Immunology and Microbiology | 6 | 5% |
| Other | 12 | 9% |
| Unknown | 9 | 7% |