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Mendeley readers
| Title |
Literature Lab: a method of automated literature interrogation to infer biology from microarray analysis
|
|---|---|
| Published in |
BMC Genomics, December 2007
|
| DOI | 10.1186/1471-2164-8-461 |
| Pubmed ID | |
| Authors |
Phillip G Febbo, Mike G Mulligan, David A Slonina, Kimberly Stegmaier, Dolores Di Vizio, Paul R Martinez, Massimo Loda, Stephen C Taylor |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 7% |
| Switzerland | 1 | 3% |
| Unknown | 27 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 23% |
| Student > Ph. D. Student | 5 | 17% |
| Professor > Associate Professor | 4 | 13% |
| Student > Bachelor | 3 | 10% |
| Other | 3 | 10% |
| Other | 5 | 17% |
| Unknown | 3 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 37% |
| Medicine and Dentistry | 7 | 23% |
| Mathematics | 1 | 3% |
| Arts and Humanities | 1 | 3% |
| Veterinary Science and Veterinary Medicine | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 5 | 17% |