You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Multi-level learning: improving the prediction of protein, domain and residue interactions by allowing information flow between levels
|
|---|---|
| Published in |
BMC Bioinformatics, August 2009
|
| DOI | 10.1186/1471-2105-10-241 |
| Pubmed ID | |
| Authors |
Kevin Y Yip, Philip M Kim, Drew McDermott, Mark Gerstein |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 7% |
| Brazil | 2 | 4% |
| Belgium | 2 | 4% |
| United States | 2 | 4% |
| Argentina | 1 | 2% |
| India | 1 | 2% |
| Spain | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 33 | 72% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 30% |
| Student > Ph. D. Student | 9 | 20% |
| Professor > Associate Professor | 9 | 20% |
| Student > Master | 5 | 11% |
| Student > Postgraduate | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 3 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 46% |
| Computer Science | 11 | 24% |
| Biochemistry, Genetics and Molecular Biology | 6 | 13% |
| Physics and Astronomy | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 5 | 11% |