| Title |
Rapid Identification of Cell-Specific, Internalizing RNA Aptamers with Bioinformatics Analyses of a Cell-Based Aptamer Selection
|
|---|---|
| Published in |
PLOS ONE, September 2012
|
| DOI | 10.1371/journal.pone.0043836 |
| Pubmed ID | |
| Authors |
William H. Thiel, Thomas Bair, Andrew S. Peek, Xiuying Liu, Justin Dassie, Katie R. Stockdale, Mark A. Behlke, Francis J. Miller, Paloma H. Giangrande |
Mendeley readers
The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | <1% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| China | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 162 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 26% |
| Researcher | 39 | 23% |
| Student > Bachelor | 20 | 12% |
| Student > Master | 19 | 11% |
| Student > Doctoral Student | 11 | 7% |
| Other | 14 | 8% |
| Unknown | 20 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 52 | 31% |
| Biochemistry, Genetics and Molecular Biology | 36 | 22% |
| Chemistry | 15 | 9% |
| Engineering | 8 | 5% |
| Medicine and Dentistry | 7 | 4% |
| Other | 15 | 9% |
| Unknown | 34 | 20% |