| Title |
Messina: A Novel Analysis Tool to Identify Biologically Relevant Molecules in Disease
|
|---|---|
| Published in |
PLOS ONE, April 2009
|
| DOI | 10.1371/journal.pone.0005337 |
| Pubmed ID | |
| Authors |
Mark Pinese, Christopher J. Scarlett, James G. Kench, Emily K. Colvin, Davendra Segara, Susan M. Henshall, Robert L. Sutherland, Andrew V. Biankin |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 8% |
| Unknown | 11 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 25% |
| Professor > Associate Professor | 2 | 17% |
| Librarian | 1 | 8% |
| Other | 1 | 8% |
| Professor | 1 | 8% |
| Other | 3 | 25% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 50% |
| Medicine and Dentistry | 2 | 17% |
| Unspecified | 1 | 8% |
| Social Sciences | 1 | 8% |
| Physics and Astronomy | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |