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Mendeley readers
| Title |
How high is the level of technical noise in microarray data?
|
|---|---|
| Published in |
Biology Direct, April 2007
|
| DOI | 10.1186/1745-6150-2-9 |
| Pubmed ID | |
| Authors |
Lev Klebanov, Andrei Yakovlev |
| Abstract |
Microarray gene expression data are commonly perceived as being extremely noisy because of many imperfections inherent in the current technology. A recent study conducted by the MicroArray Quality Control (MAQC) Consortium and published in Nature Biotechnology provides a unique opportunity to probe into the true level of technical noise in such data. |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| United Kingdom | 1 | 1% |
| Unknown | 67 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 33% |
| Researcher | 15 | 21% |
| Professor > Associate Professor | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Student > Master | 5 | 7% |
| Other | 9 | 13% |
| Unknown | 2 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 25 | 36% |
| Biochemistry, Genetics and Molecular Biology | 11 | 16% |
| Computer Science | 9 | 13% |
| Medicine and Dentistry | 6 | 9% |
| Engineering | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 3 | 4% |