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Mendeley readers
| Title |
Exploiting structural and topological information to improve prediction of RNA-protein binding sites
|
|---|---|
| Published in |
BMC Bioinformatics, October 2009
|
| DOI | 10.1186/1471-2105-10-341 |
| Pubmed ID | |
| Authors |
Stefan R Maetschke, Zheng Yuan |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Italy | 1 | 2% |
| United Kingdom | 1 | 2% |
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 48 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 40% |
| Researcher | 10 | 19% |
| Professor > Associate Professor | 5 | 9% |
| Student > Master | 5 | 9% |
| Professor | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 49% |
| Biochemistry, Genetics and Molecular Biology | 9 | 17% |
| Computer Science | 7 | 13% |
| Engineering | 5 | 9% |
| Chemistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 4 | 8% |