| Title |
A Mechanistic Model of PCR for Accurate Quantification of Quantitative PCR Data
|
|---|---|
| Published in |
PLOS ONE, August 2010
|
| DOI | 10.1371/journal.pone.0012355 |
| Pubmed ID | |
| Authors |
Gregory J. Boggy, Peter J. Woolf |
| Abstract |
Quantitative PCR (qPCR) is a workhorse laboratory technique for measuring the concentration of a target DNA sequence with high accuracy over a wide dynamic range. The gold standard method for estimating DNA concentrations via qPCR is quantification cycle () standard curve quantification, which requires the time- and labor-intensive construction of a standard curve. In theory, the shape of a qPCR data curve can be used to directly quantify DNA concentration by fitting a model to data; however, current empirical model-based quantification methods are not as reliable as standard curve quantification. |
Mendeley readers
The data shown below were compiled from readership statistics for 228 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 10 | 4% |
| Germany | 3 | 1% |
| Spain | 3 | 1% |
| United Kingdom | 3 | 1% |
| India | 2 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Canada | 1 | <1% |
| Indonesia | 1 | <1% |
| Other | 4 | 2% |
| Unknown | 199 | 87% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 66 | 29% |
| Student > Ph. D. Student | 49 | 21% |
| Student > Master | 24 | 11% |
| Student > Bachelor | 23 | 10% |
| Other | 12 | 5% |
| Other | 34 | 15% |
| Unknown | 20 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 103 | 45% |
| Biochemistry, Genetics and Molecular Biology | 41 | 18% |
| Engineering | 15 | 7% |
| Medicine and Dentistry | 12 | 5% |
| Environmental Science | 5 | 2% |
| Other | 25 | 11% |
| Unknown | 27 | 12% |