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Mendeley readers
| Title |
Computational thinking in the era of big data biology
|
|---|---|
| Published in |
Genome Biology, November 2012
|
| DOI | 10.1186/gb-2012-13-11-177 |
| Pubmed ID | |
| Authors |
Michael C Schatz |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 7% |
| France | 2 | 1% |
| Germany | 2 | 1% |
| Mexico | 1 | <1% |
| China | 1 | <1% |
| Belgium | 1 | <1% |
| Spain | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 144 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 28% |
| Student > Ph. D. Student | 23 | 14% |
| Professor > Associate Professor | 16 | 10% |
| Student > Master | 16 | 10% |
| Student > Bachelor | 13 | 8% |
| Other | 27 | 16% |
| Unknown | 23 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 63 | 38% |
| Biochemistry, Genetics and Molecular Biology | 22 | 13% |
| Computer Science | 21 | 13% |
| Medicine and Dentistry | 7 | 4% |
| Social Sciences | 7 | 4% |
| Other | 19 | 12% |
| Unknown | 25 | 15% |