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Mendeley readers
| Title |
Mayday - integrative analytics for expression data
|
|---|---|
| Published in |
BMC Bioinformatics, March 2010
|
| DOI | 10.1186/1471-2105-11-121 |
| Pubmed ID | |
| Authors |
Florian Battke, Stephan Symons, Kay Nieselt |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 6 | 5% |
| United States | 4 | 3% |
| France | 2 | 2% |
| Canada | 2 | 2% |
| Colombia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Japan | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 109 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 27% |
| Researcher | 30 | 24% |
| Student > Master | 12 | 9% |
| Professor | 10 | 8% |
| Student > Bachelor | 7 | 6% |
| Other | 26 | 20% |
| Unknown | 8 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 43% |
| Computer Science | 25 | 20% |
| Biochemistry, Genetics and Molecular Biology | 9 | 7% |
| Medicine and Dentistry | 7 | 6% |
| Engineering | 4 | 3% |
| Other | 18 | 14% |
| Unknown | 9 | 7% |