You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
mirMark: a site-level and UTR-level classifier for miRNA target prediction
|
|---|---|
| Published in |
Genome Biology, October 2014
|
| DOI | 10.1186/s13059-014-0500-5 |
| Pubmed ID | |
| Authors |
Mark Menor, Travers Ching, Xun Zhu, David Garmire, Lana X Garmire |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 1% |
| India | 1 | 1% |
| United States | 1 | 1% |
| Luxembourg | 1 | 1% |
| Unknown | 64 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 24% |
| Student > Ph. D. Student | 13 | 19% |
| Researcher | 10 | 15% |
| Student > Bachelor | 5 | 7% |
| Other | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 7 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 26% |
| Computer Science | 15 | 22% |
| Biochemistry, Genetics and Molecular Biology | 12 | 18% |
| Medicine and Dentistry | 7 | 10% |
| Engineering | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 12 | 18% |