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Mendeley readers
| Title |
Automated genome mining for natural products
|
|---|---|
| Published in |
BMC Bioinformatics, June 2009
|
| DOI | 10.1186/1471-2105-10-185 |
| Pubmed ID | |
| Authors |
Michael HT Li, Peter MU Ung, James Zajkowski, Sylvie Garneau-Tsodikova, David H Sherman |
Mendeley readers
The data shown below were compiled from readership statistics for 356 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| Brazil | 6 | 2% |
| Denmark | 5 | 1% |
| Germany | 3 | <1% |
| Nigeria | 2 | <1% |
| Italy | 1 | <1% |
| Chile | 1 | <1% |
| Malaysia | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 7 | 2% |
| Unknown | 323 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 89 | 25% |
| Researcher | 64 | 18% |
| Student > Master | 49 | 14% |
| Student > Bachelor | 31 | 9% |
| Student > Doctoral Student | 20 | 6% |
| Other | 58 | 16% |
| Unknown | 45 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 132 | 37% |
| Biochemistry, Genetics and Molecular Biology | 69 | 19% |
| Chemistry | 46 | 13% |
| Immunology and Microbiology | 20 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 2% |
| Other | 27 | 8% |
| Unknown | 54 | 15% |