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Mendeley readers
| Title |
Using gene co-expression network analysis to predict biomarkers for chronic lymphocytic leukemia
|
|---|---|
| Published in |
BMC Bioinformatics, October 2010
|
| DOI | 10.1186/1471-2105-11-s9-s5 |
| Pubmed ID | |
| Authors |
Jie Zhang, Yang Xiang, Liya Ding, Kristin Keen-Circle, Tara B Borlawsky, Hatice Gulcin Ozer, Ruoming Jin, Philip Payne, Kun Huang |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| India | 1 | 2% |
| Hong Kong | 1 | 2% |
| Denmark | 1 | 2% |
| Poland | 1 | 2% |
| Unknown | 60 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 16 | 24% |
| Student > Ph. D. Student | 14 | 21% |
| Student > Bachelor | 8 | 12% |
| Professor > Associate Professor | 5 | 8% |
| Other | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 8 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 38% |
| Computer Science | 12 | 18% |
| Medicine and Dentistry | 8 | 12% |
| Biochemistry, Genetics and Molecular Biology | 6 | 9% |
| Engineering | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 8 | 12% |