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Mendeley readers
| Title |
Use of prior knowledge for the analysis of high-throughput transcriptomics and metabolomics data
|
|---|---|
| Published in |
BMC Systems Biology, March 2014
|
| DOI | 10.1186/1752-0509-8-s2-s2 |
| Pubmed ID | |
| Authors |
Polina Reshetova, Age K Smilde, Antoine HC van Kampen, Johan A Westerhuis |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| United States | 2 | 2% |
| Turkey | 1 | 1% |
| Portugal | 1 | 1% |
| India | 1 | 1% |
| South Africa | 1 | 1% |
| Canada | 1 | 1% |
| Czechia | 1 | 1% |
| Unknown | 77 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 38% |
| Researcher | 17 | 20% |
| Student > Master | 9 | 10% |
| Professor | 5 | 6% |
| Other | 4 | 5% |
| Other | 13 | 15% |
| Unknown | 6 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 44% |
| Biochemistry, Genetics and Molecular Biology | 15 | 17% |
| Computer Science | 6 | 7% |
| Chemistry | 5 | 6% |
| Mathematics | 3 | 3% |
| Other | 11 | 13% |
| Unknown | 9 | 10% |