| Title |
Network Neighbors of Drug Targets Contribute to Drug Side-Effect Similarity
|
|---|---|
| Published in |
PLOS ONE, July 2011
|
| DOI | 10.1371/journal.pone.0022187 |
| Pubmed ID | |
| Authors |
Lucas Brouwers, Murat Iskar, Georg Zeller, Vera van Noort, Peer Bork |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 25% |
| United States | 2 | 25% |
| France | 1 | 13% |
| United Kingdom | 1 | 13% |
| Canada | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 5% |
| Germany | 6 | 4% |
| United Kingdom | 3 | 2% |
| India | 2 | 1% |
| Portugal | 1 | <1% |
| Brazil | 1 | <1% |
| Italy | 1 | <1% |
| Hungary | 1 | <1% |
| China | 1 | <1% |
| Other | 3 | 2% |
| Unknown | 134 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 29% |
| Researcher | 38 | 24% |
| Student > Master | 15 | 9% |
| Professor > Associate Professor | 12 | 7% |
| Student > Bachelor | 10 | 6% |
| Other | 33 | 20% |
| Unknown | 6 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 73 | 45% |
| Computer Science | 25 | 16% |
| Chemistry | 13 | 8% |
| Biochemistry, Genetics and Molecular Biology | 10 | 6% |
| Medicine and Dentistry | 8 | 5% |
| Other | 20 | 12% |
| Unknown | 12 | 7% |