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Mendeley readers
Title |
Combining gene prediction methods to improve metagenomic gene annotation
|
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Published in |
BMC Bioinformatics, January 2011
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DOI | 10.1186/1471-2105-12-20 |
Pubmed ID | |
Authors |
Non G Yok, Gail L Rosen |
Mendeley readers
The data shown below were compiled from readership statistics for 200 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 6 | 3% |
United Kingdom | 4 | 2% |
United States | 3 | 2% |
Germany | 2 | 1% |
Italy | 2 | 1% |
Sweden | 2 | 1% |
Denmark | 2 | 1% |
India | 1 | <1% |
France | 1 | <1% |
Other | 3 | 2% |
Unknown | 174 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 52 | 26% |
Student > Ph. D. Student | 45 | 23% |
Student > Master | 26 | 13% |
Student > Bachelor | 19 | 10% |
Other | 11 | 6% |
Other | 32 | 16% |
Unknown | 15 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 119 | 60% |
Biochemistry, Genetics and Molecular Biology | 23 | 12% |
Computer Science | 12 | 6% |
Environmental Science | 11 | 6% |
Immunology and Microbiology | 7 | 4% |
Other | 11 | 6% |
Unknown | 17 | 9% |