| Title |
HapTree: A Novel Bayesian Framework for Single Individual Polyplotyping Using NGS Data
|
|---|---|
| Published in |
PLoS Computational Biology, March 2014
|
| DOI | 10.1371/journal.pcbi.1003502 |
| Pubmed ID | |
| Authors |
Emily Berger, Deniz Yorukoglu, Jian Peng, Bonnie Berger |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Venezuela, Bolivarian Republic of | 1 | 20% |
| India | 1 | 20% |
| Norway | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| United States | 2 | 2% |
| Italy | 1 | 1% |
| Unknown | 92 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 15% |
| Researcher | 15 | 15% |
| Student > Master | 12 | 12% |
| Professor > Associate Professor | 4 | 4% |
| Student > Bachelor | 3 | 3% |
| Other | 7 | 7% |
| Unknown | 41 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 33% |
| Computer Science | 10 | 10% |
| Biochemistry, Genetics and Molecular Biology | 8 | 8% |
| Physics and Astronomy | 1 | 1% |
| Medicine and Dentistry | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 44 | 45% |