| Title |
BEAST 2: A Software Platform for Bayesian Evolutionary Analysis
|
|---|---|
| Published in |
PLoS Computational Biology, April 2014
|
| DOI | 10.1371/journal.pcbi.1003537 |
| Pubmed ID | |
| Authors |
Remco Bouckaert, Joseph Heled, Denise Kühnert, Tim Vaughan, Chieh-Hsi Wu, Dong Xie, Marc A. Suchard, Andrew Rambaut, Alexei J. Drummond |
X Demographics
The data shown below were collected from the profiles of 63 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 27% |
| United Kingdom | 5 | 8% |
| New Zealand | 4 | 6% |
| Sweden | 2 | 3% |
| Germany | 2 | 3% |
| Canada | 2 | 3% |
| Norway | 1 | 2% |
| Switzerland | 1 | 2% |
| India | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 24 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 33 | 52% |
| Members of the public | 28 | 44% |
| Science communicators (journalists, bloggers, editors) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,695 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 20 | <1% |
| Brazil | 18 | <1% |
| United Kingdom | 8 | <1% |
| Spain | 7 | <1% |
| Germany | 6 | <1% |
| Australia | 4 | <1% |
| Netherlands | 4 | <1% |
| Norway | 3 | <1% |
| France | 3 | <1% |
| Other | 33 | 1% |
| Unknown | 2589 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 601 | 22% |
| Researcher | 429 | 16% |
| Student > Master | 392 | 15% |
| Student > Bachelor | 274 | 10% |
| Student > Doctoral Student | 157 | 6% |
| Other | 383 | 14% |
| Unknown | 459 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 1286 | 48% |
| Biochemistry, Genetics and Molecular Biology | 428 | 16% |
| Environmental Science | 135 | 5% |
| Immunology and Microbiology | 50 | 2% |
| Computer Science | 49 | 2% |
| Other | 206 | 8% |
| Unknown | 541 | 20% |