| Title |
A Self-Directed Method for Cell-Type Identification and Separation of Gene Expression Microarrays
|
|---|---|
| Published in |
PLoS Computational Biology, August 2013
|
| DOI | 10.1371/journal.pcbi.1003189 |
| Pubmed ID | |
| Authors |
Neta S. Zuckerman, Yair Noam, Andrea J. Goldsmith, Peter P. Lee |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| Ireland | 1 | <1% |
| Israel | 1 | <1% |
| Switzerland | 1 | <1% |
| Argentina | 1 | <1% |
| New Zealand | 1 | <1% |
| Spain | 1 | <1% |
| Russia | 1 | <1% |
| Unknown | 92 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 29% |
| Student > Ph. D. Student | 22 | 22% |
| Student > Master | 12 | 12% |
| Student > Bachelor | 6 | 6% |
| Student > Doctoral Student | 5 | 5% |
| Other | 15 | 15% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 42% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Computer Science | 12 | 12% |
| Engineering | 6 | 6% |
| Mathematics | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 13 | 13% |