| Title |
Inferring Correlation Networks from Genomic Survey Data
|
|---|---|
| Published in |
PLoS Computational Biology, September 2012
|
| DOI | 10.1371/journal.pcbi.1002687 |
| Pubmed ID | |
| Authors |
Jonathan Friedman, Eric J. Alm |
X Demographics
The data shown below were collected from the profiles of 11 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 | 6 | 55% |
| United Kingdom | 2 | 18% |
| Japan | 1 | 9% |
| Unknown | 2 | 18% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 5 | 45% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,618 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 28 | 2% |
| Brazil | 6 | <1% |
| France | 5 | <1% |
| Japan | 5 | <1% |
| United Kingdom | 4 | <1% |
| Netherlands | 3 | <1% |
| Australia | 3 | <1% |
| Germany | 3 | <1% |
| Italy | 2 | <1% |
| Other | 13 | <1% |
| Unknown | 1546 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 428 | 26% |
| Researcher | 311 | 19% |
| Student > Master | 179 | 11% |
| Student > Bachelor | 126 | 8% |
| Student > Doctoral Student | 98 | 6% |
| Other | 198 | 12% |
| Unknown | 278 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 543 | 34% |
| Biochemistry, Genetics and Molecular Biology | 260 | 16% |
| Environmental Science | 109 | 7% |
| Immunology and Microbiology | 89 | 6% |
| Computer Science | 62 | 4% |
| Other | 211 | 13% |
| Unknown | 344 | 21% |