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Mendeley readers
| Title |
Can Zipf's law be adapted to normalize microarrays?
|
|---|---|
| Published in |
BMC Bioinformatics, February 2005
|
| DOI | 10.1186/1471-2105-6-37 |
| Pubmed ID | |
| Authors |
Tim Lu, Christine M Costello, Peter JP Croucher, Robert Häsler, Günther Deuschl, Stefan Schreiber |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 6% |
| France | 1 | 2% |
| South Africa | 1 | 2% |
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 45 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 27% |
| Student > Ph. D. Student | 12 | 23% |
| Professor | 7 | 13% |
| Professor > Associate Professor | 7 | 13% |
| Student > Master | 5 | 10% |
| Other | 5 | 10% |
| Unknown | 2 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 38% |
| Computer Science | 8 | 15% |
| Medicine and Dentistry | 4 | 8% |
| Engineering | 4 | 8% |
| Mathematics | 2 | 4% |
| Other | 11 | 21% |
| Unknown | 3 | 6% |