You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Attention Score in Context
| Title |
Real-Time Relative qPCR without Reference to Control Samples and Estimation of Run-Specific PCR Parameters from Run-Internal Mini-Standard Curves
|
|---|---|
| Published in |
PLOS ONE, July 2010
|
| DOI | 10.1371/journal.pone.0011723 |
| Pubmed ID | |
| Authors |
Jens Magnus Bernth Jensen, Mikkel Steen Petersen, Marc Stegger, Lars J. Østergaard, Bjarne K. Møller |
| Abstract |
Real-Time quantitative PCR is an important tool in research and clinical settings. Here, we describe two new approaches that broaden the scope of real-time quantitative PCR; namely, run-internal mini standard curves (RIMS) and direct real-time relative quantitative PCR (drqPCR). RIMS are an efficient alternative to traditional standard curves and provide both run-specific and target-specific estimates of PCR parameters. The drqPCR enables direct estimation of target ratios without reference to conventional control samples. |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 2% |
| Germany | 1 | 2% |
| France | 1 | 2% |
| Australia | 1 | 2% |
| Brazil | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 46 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 40% |
| Student > Ph. D. Student | 8 | 15% |
| Professor > Associate Professor | 4 | 8% |
| Student > Master | 4 | 8% |
| Professor | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 24 | 46% |
| Medicine and Dentistry | 7 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 8% |
| Environmental Science | 2 | 4% |
| Immunology and Microbiology | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 6 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 July 2010.
All research outputs
#5,561,800
of 22,653,392 outputs
Outputs from PLOS ONE
#67,374
of 193,422 outputs
Outputs of similar age
#26,215
of 94,402 outputs
Outputs of similar age from PLOS ONE
#326
of 748 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,422 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 94,402 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 748 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.