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Mendeley readers
| Title |
Direct integration of intensity-level data from Affymetrix and Illumina microarrays improves statistical power for robust reanalysis
|
|---|---|
| Published in |
BMC Medical Genomics, August 2012
|
| DOI | 10.1186/1755-8794-5-35 |
| Pubmed ID | |
| Authors |
Arran K Turnbull, Robert R Kitchen, Alexey A Larionov, Lorna Renshaw, J Michael Dixon, Andrew H Sims |
| Abstract |
Affymetrix GeneChips and Illumina BeadArrays are the most widely used commercial single channel gene expression microarrays. Public data repositories are an extremely valuable resource, providing array-derived gene expression measurements from many thousands of experiments. Unfortunately many of these studies are underpowered and it is desirable to improve power by combining data from more than one study; we sought to determine whether platform-specific bias precludes direct integration of probe intensity signals for combined reanalysis. |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Ukraine | 1 | <1% |
| Taiwan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 94 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 26 | 25% |
| Researcher | 21 | 21% |
| Student > Master | 15 | 15% |
| Student > Bachelor | 6 | 6% |
| Other | 5 | 5% |
| Other | 17 | 17% |
| Unknown | 12 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 26% |
| Biochemistry, Genetics and Molecular Biology | 18 | 18% |
| Medicine and Dentistry | 15 | 15% |
| Computer Science | 10 | 10% |
| Engineering | 5 | 5% |
| Other | 10 | 10% |
| Unknown | 17 | 17% |