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Mendeley readers
| Title |
Orthologous gene-expression profiling in multi-species models: search for candidate genes
|
|---|---|
| Published in |
Genome Biology, April 2004
|
| DOI | 10.1186/gb-2004-5-5-r34 |
| Pubmed ID | |
| Authors |
Dmitry N Grigoryev, Shwu-Fan Ma, Rafael A Irizarry, Shui Qing Ye, John Quackenbush, Joe GN Garcia |
| Abstract |
Microarray-driven gene-expression profiles are generally produced and analyzed for a single specific experimental model. We have assessed an analytical approach that simultaneously evaluates multi-species experimental models within a particular biological condition using orthologous genes as linkers for the various Affymetrix microarray platforms on multi-species models of ventilator-associated lung injury. The results suggest that this approach may be a useful tool in the evaluation of biological processes of interest and selection of process-related candidate genes. |
Mendeley readers
The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Germany | 1 | 2% |
| Brazil | 1 | 2% |
| Argentina | 1 | 2% |
| Japan | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 57 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 18 | 28% |
| Student > Ph. D. Student | 12 | 19% |
| Professor > Associate Professor | 8 | 13% |
| Professor | 6 | 9% |
| Other | 5 | 8% |
| Other | 10 | 16% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 41 | 64% |
| Biochemistry, Genetics and Molecular Biology | 10 | 16% |
| Mathematics | 2 | 3% |
| Computer Science | 2 | 3% |
| Engineering | 2 | 3% |
| Other | 2 | 3% |
| Unknown | 5 | 8% |