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Mendeley readers
| Title |
MINER: exploratory analysis of gene interaction networks by machine learning from expression data
|
|---|---|
| Published in |
BMC Genomics, December 2009
|
| DOI | 10.1186/1471-2164-10-s3-s17 |
| Pubmed ID | |
| Authors |
Sidath Randeni Kadupitige, Kin Chun Leung, Julia Sellmeier, Jane Sivieng, Daniel R Catchpoole, Michael E Bain, Bruno A Gaëta |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| France | 2 | 4% |
| Australia | 1 | 2% |
| Brazil | 1 | 2% |
| Luxembourg | 1 | 2% |
| Unknown | 43 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 24% |
| Student > Bachelor | 8 | 16% |
| Professor > Associate Professor | 7 | 14% |
| Professor | 5 | 10% |
| Student > Ph. D. Student | 5 | 10% |
| Other | 9 | 18% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 43% |
| Computer Science | 8 | 16% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Medicine and Dentistry | 3 | 6% |
| Unspecified | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 7 | 14% |