| Title |
New Methods Section in PLOS Computational Biology
|
|---|---|
| Published in |
PLoS Computational Biology, March 2013
|
| DOI | 10.1371/journal.pcbi.1002972 |
| Pubmed ID | |
| Authors |
Thomas Lengauer, Ruth Nussinov |
X Demographics
The data shown below were collected from the profiles of 38 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 | 24% |
| Germany | 3 | 8% |
| Belgium | 2 | 5% |
| United Kingdom | 2 | 5% |
| Switzerland | 2 | 5% |
| Canada | 2 | 5% |
| India | 1 | 3% |
| France | 1 | 3% |
| Spain | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 11 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 18 | 47% |
| Members of the public | 18 | 47% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 9% |
| Netherlands | 2 | 4% |
| United Kingdom | 2 | 4% |
| Canada | 2 | 4% |
| Brazil | 1 | 2% |
| Mexico | 1 | 2% |
| Portugal | 1 | 2% |
| Spain | 1 | 2% |
| Estonia | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 41 | 72% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 33% |
| Researcher | 19 | 33% |
| Professor | 3 | 5% |
| Student > Doctoral Student | 2 | 4% |
| Student > Master | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 8 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 28 | 49% |
| Computer Science | 7 | 12% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Physics and Astronomy | 3 | 5% |
| Medicine and Dentistry | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 10 | 18% |