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Mendeley readers
| Title |
miRSel: Automated extraction of associations between microRNAs and genes from the biomedical literature
|
|---|---|
| Published in |
BMC Bioinformatics, March 2010
|
| DOI | 10.1186/1471-2105-11-135 |
| Pubmed ID | |
| Authors |
Haroon Naeem, Robert Küffner, Gergely Csaba, Ralf Zimmer |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Taiwan | 1 | <1% |
| Germany | 1 | <1% |
| China | 1 | <1% |
| Slovenia | 1 | <1% |
| Luxembourg | 1 | <1% |
| Poland | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 93 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 32% |
| Student > Ph. D. Student | 25 | 24% |
| Student > Master | 11 | 10% |
| Professor > Associate Professor | 10 | 10% |
| Student > Bachelor | 8 | 8% |
| Other | 14 | 13% |
| Unknown | 3 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 45 | 43% |
| Computer Science | 20 | 19% |
| Biochemistry, Genetics and Molecular Biology | 10 | 10% |
| Medicine and Dentistry | 10 | 10% |
| Engineering | 3 | 3% |
| Other | 10 | 10% |
| Unknown | 7 | 7% |