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Mendeley readers
| Title |
Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets
|
|---|---|
| Published in |
BMC Bioinformatics, October 2007
|
| DOI | 10.1186/1471-2105-8-415 |
| Pubmed ID | |
| Authors |
Michael Gormley, William Dampier, Adam Ertel, Bilge Karacali, Aydin Tozeren |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 3% |
| United States | 2 | 3% |
| Germany | 1 | 2% |
| United Kingdom | 1 | 2% |
| Finland | 1 | 2% |
| Spain | 1 | 2% |
| Korea, Republic of | 1 | 2% |
| Unknown | 55 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 27% |
| Researcher | 12 | 19% |
| Professor | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Professor > Associate Professor | 3 | 5% |
| Other | 12 | 19% |
| Unknown | 12 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 23% |
| Biochemistry, Genetics and Molecular Biology | 11 | 17% |
| Agricultural and Biological Sciences | 10 | 16% |
| Engineering | 5 | 8% |
| Computer Science | 5 | 8% |
| Other | 5 | 8% |
| Unknown | 13 | 20% |