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Mendeley readers
| Title |
Comparative analysis of methods for gene transcription profiling data derived from different microarray technologies in rat and mouse models of diabetes
|
|---|---|
| Published in |
BMC Genomics, February 2009
|
| DOI | 10.1186/1471-2164-10-63 |
| Pubmed ID | |
| Authors |
Steven P Wilder, Pamela J Kaisaki, Karène Argoud, Anita Salhan, Jiannis Ragoussis, Marie-Thérèse Bihoreau, Dominique Gauguier |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 6% |
| Germany | 2 | 6% |
| Russia | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 29 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 34% |
| Student > Ph. D. Student | 5 | 14% |
| Other | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 2 | 6% |
| Other | 7 | 20% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 18 | 51% |
| Medicine and Dentistry | 6 | 17% |
| Mathematics | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 4 | 11% |