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Mendeley readers
| Title |
A novel Mixture Model Method for identification of differentially expressed genes from DNA microarray data
|
|---|---|
| Published in |
BMC Bioinformatics, December 2004
|
| DOI | 10.1186/1471-2105-5-201 |
| Pubmed ID | |
| Authors |
Kayvan Najarian, Maryam Zaheri, Ali A Rad, Siamak Najarian, Javad Dargahi |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 6% |
| Unknown | 17 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 33% |
| Researcher | 5 | 28% |
| Other | 1 | 6% |
| Professor | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 39% |
| Engineering | 3 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Computer Science | 2 | 11% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 2 | 11% |