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Mendeley readers
| Title |
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
|
|---|---|
| Published in |
BMC Bioinformatics, November 2005
|
| DOI | 10.1186/1471-2105-6-265 |
| Pubmed ID | |
| Authors |
Patrick Warnat, Roland Eils, Benedikt Brors |
Mendeley readers
The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 1% |
| Luxembourg | 2 | 1% |
| United States | 2 | 1% |
| Canada | 2 | 1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Italy | 1 | <1% |
| Mexico | 1 | <1% |
| Belgium | 1 | <1% |
| Other | 5 | 3% |
| Unknown | 164 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 30% |
| Researcher | 36 | 20% |
| Student > Master | 23 | 13% |
| Student > Bachelor | 16 | 9% |
| Professor | 8 | 4% |
| Other | 35 | 19% |
| Unknown | 9 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 31% |
| Computer Science | 48 | 26% |
| Biochemistry, Genetics and Molecular Biology | 18 | 10% |
| Medicine and Dentistry | 15 | 8% |
| Engineering | 13 | 7% |
| Other | 15 | 8% |
| Unknown | 16 | 9% |