| Title |
Systematic Evaluation of Three microRNA Profiling Platforms: Microarray, Beads Array, and Quantitative Real-Time PCR Array
|
|---|---|
| Published in |
PLOS ONE, February 2011
|
| DOI | 10.1371/journal.pone.0017167 |
| Pubmed ID | |
| Authors |
Bin Wang, Paul Howel, Skjalg Bruheim, Jingfang Ju, Laurie B. Owen, Oystein Fodstad, Yaguang Xi |
| Abstract |
A number of gene-profiling methodologies have been applied to microRNA research. The diversity of the platforms and analytical methods makes the comparison and integration of cross-platform microRNA profiling data challenging. In this study, we systematically analyze three representative microRNA profiling platforms: Locked Nucleic Acid (LNA) microarray, beads array, and TaqMan quantitative real-time PCR Low Density Array (TLDA). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| United Kingdom | 2 | 1% |
| India | 2 | 1% |
| Brazil | 1 | <1% |
| Czechia | 1 | <1% |
| Germany | 1 | <1% |
| Russia | 1 | <1% |
| Norway | 1 | <1% |
| Luxembourg | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 141 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 56 | 36% |
| Student > Ph. D. Student | 39 | 25% |
| Student > Master | 13 | 8% |
| Student > Bachelor | 10 | 6% |
| Student > Postgraduate | 6 | 4% |
| Other | 24 | 15% |
| Unknown | 8 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 64 | 41% |
| Biochemistry, Genetics and Molecular Biology | 35 | 22% |
| Medicine and Dentistry | 25 | 16% |
| Immunology and Microbiology | 4 | 3% |
| Neuroscience | 4 | 3% |
| Other | 13 | 8% |
| Unknown | 11 | 7% |