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Mendeley readers
| Title |
Prediction of novel precursor miRNAs using a context-sensitive hidden Markov model (CSHMM)
|
|---|---|
| Published in |
BMC Bioinformatics, January 2010
|
| DOI | 10.1186/1471-2105-11-s1-s29 |
| Pubmed ID | |
| Authors |
Sumeet Agarwal, Candida Vaz, Alok Bhattacharya, Ashwin Srinivasan |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 3% |
| United States | 2 | 3% |
| United Kingdom | 2 | 3% |
| Brazil | 2 | 3% |
| Germany | 1 | 2% |
| France | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 52 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 29% |
| Researcher | 14 | 22% |
| Student > Master | 7 | 11% |
| Other | 4 | 6% |
| Professor > Associate Professor | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 34 | 54% |
| Computer Science | 11 | 17% |
| Biochemistry, Genetics and Molecular Biology | 8 | 13% |
| Mathematics | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 8 | 13% |