| Title |
Defining the Estimated Core Genome of Bacterial Populations Using a Bayesian Decision Model
|
|---|---|
| Published in |
PLoS Computational Biology, August 2014
|
| DOI | 10.1371/journal.pcbi.1003788 |
| Pubmed ID | |
| Authors |
Andries J. van Tonder, Shilan Mistry, James E. Bray, Dorothea M. C. Hill, Alison J. Cody, Chris L. Farmer, Keith P. Klugman, Anne von Gottberg, Stephen D. Bentley, Julian Parkhill, Keith A. Jolley, Martin C. J. Maiden, Angela B. Brueggemann |
X Demographics
The data shown below were collected from the profiles of 33 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 | 9 | 27% |
| United Kingdom | 3 | 9% |
| Netherlands | 1 | 3% |
| India | 1 | 3% |
| Mexico | 1 | 3% |
| Greece | 1 | 3% |
| Argentina | 1 | 3% |
| Australia | 1 | 3% |
| Norway | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 14 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 64% |
| Scientists | 11 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | <1% |
| United States | 2 | <1% |
| United Kingdom | 2 | <1% |
| Sweden | 1 | <1% |
| Brazil | 1 | <1% |
| Colombia | 1 | <1% |
| Russia | 1 | <1% |
| Denmark | 1 | <1% |
| Japan | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 193 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 53 | 26% |
| Researcher | 41 | 20% |
| Student > Master | 32 | 16% |
| Student > Bachelor | 20 | 10% |
| Other | 13 | 6% |
| Other | 31 | 15% |
| Unknown | 16 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 86 | 42% |
| Biochemistry, Genetics and Molecular Biology | 42 | 20% |
| Immunology and Microbiology | 12 | 6% |
| Computer Science | 12 | 6% |
| Medicine and Dentistry | 7 | 3% |
| Other | 23 | 11% |
| Unknown | 24 | 12% |