| Title |
Finding the “Dark Matter” in Human and Yeast Protein Network Prediction and Modelling
|
|---|---|
| Published in |
PLoS Computational Biology, September 2010
|
| DOI | 10.1371/journal.pcbi.1000945 |
| Pubmed ID | |
| Authors |
Juan A. G. Ranea, Ian Morilla, Jon G. Lees, Adam J. Reid, Corin Yeats, Andrew B. Clegg, Francisca Sanchez-Jimenez, Christine Orengo |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 4% |
| United States | 2 | 3% |
| Japan | 2 | 3% |
| Brazil | 1 | 1% |
| Canada | 1 | 1% |
| India | 1 | 1% |
| Australia | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 62 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 27% |
| Researcher | 20 | 27% |
| Student > Master | 7 | 9% |
| Professor > Associate Professor | 6 | 8% |
| Professor | 4 | 5% |
| Other | 9 | 12% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 49% |
| Biochemistry, Genetics and Molecular Biology | 14 | 19% |
| Computer Science | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Unspecified | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 10 | 14% |