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Mendeley readers
| Title |
Predicting protein linkages in bacteria: Which method is best depends on task
|
|---|---|
| Published in |
BMC Bioinformatics, September 2008
|
| DOI | 10.1186/1471-2105-9-397 |
| Pubmed ID | |
| Authors |
Anis Karimpour-Fard, Sonia M Leach, Ryan T Gill, Lawrence E Hunter |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Germany | 2 | 4% |
| Japan | 1 | 2% |
| Luxembourg | 1 | 2% |
| Unknown | 44 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 41% |
| Student > Ph. D. Student | 9 | 18% |
| Professor > Associate Professor | 5 | 10% |
| Professor | 3 | 6% |
| Student > Postgraduate | 3 | 6% |
| Other | 9 | 18% |
| Unknown | 1 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 49% |
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Computer Science | 6 | 12% |
| Earth and Planetary Sciences | 3 | 6% |
| Environmental Science | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 4 | 8% |