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Mendeley readers
| Title |
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregressive process
|
|---|---|
| Published in |
BMC Bioinformatics, May 2007
|
| DOI | 10.1186/1471-2105-8-s2-s3 |
| Pubmed ID | |
| Authors |
Rainer Opgen-Rhein, Korbinian Strimmer |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 3 | 3% |
| Chile | 1 | <1% |
| Italy | 1 | <1% |
| Cuba | 1 | <1% |
| Brazil | 1 | <1% |
| Israel | 1 | <1% |
| United Kingdom | 1 | <1% |
| Denmark | 1 | <1% |
| Russia | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 100 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 27% |
| Student > Ph. D. Student | 28 | 25% |
| Student > Master | 10 | 9% |
| Professor > Associate Professor | 8 | 7% |
| Professor | 7 | 6% |
| Other | 20 | 18% |
| Unknown | 9 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 31% |
| Computer Science | 20 | 18% |
| Mathematics | 12 | 11% |
| Engineering | 9 | 8% |
| Biochemistry, Genetics and Molecular Biology | 7 | 6% |
| Other | 17 | 15% |
| Unknown | 12 | 11% |