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Mendeley readers
| Title |
THINK Back: KNowledge-based Interpretation of High Throughput data
|
|---|---|
| Published in |
BMC Bioinformatics, March 2012
|
| DOI | 10.1186/1471-2105-13-s2-s4 |
| Pubmed ID | |
| Authors |
Fernando Farfán, Jun Ma, Maureen A Sartor, George Michailidis, Hosagrahar V Jagadish |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Russia | 1 | 3% |
| Unknown | 29 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 30% |
| Student > Ph. D. Student | 8 | 27% |
| Other | 3 | 10% |
| Professor | 2 | 7% |
| Student > Master | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 4 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 30% |
| Agricultural and Biological Sciences | 8 | 27% |
| Biochemistry, Genetics and Molecular Biology | 5 | 17% |
| Medicine and Dentistry | 2 | 7% |
| Physics and Astronomy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 4 | 13% |