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X Demographics
Mendeley readers
Attention Score in Context
| Title |
pcrEfficiency: a Web tool for PCR amplification efficiency prediction
|
|---|---|
| Published in |
BMC Bioinformatics, October 2011
|
| DOI | 10.1186/1471-2105-12-404 |
| Pubmed ID | |
| Authors |
Izaskun Mallona, Julia Weiss, Marcos Egea-Cortines |
| Abstract |
Relative calculation of differential gene expression in quantitative PCR reactions requires comparison between amplification experiments that include reference genes and genes under study. Ignoring the differences between their efficiencies may lead to miscalculation of gene expression even with the same starting amount of template. Although there are several tools performing PCR primer design, there is no tool available that predicts PCR efficiency for a given amplicon and primer pair. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 2% |
| Germany | 2 | 1% |
| France | 2 | 1% |
| Spain | 2 | 1% |
| Israel | 1 | <1% |
| Australia | 1 | <1% |
| Norway | 1 | <1% |
| Mexico | 1 | <1% |
| Canada | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 151 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 26% |
| Student > Ph. D. Student | 35 | 21% |
| Student > Master | 21 | 13% |
| Other | 9 | 5% |
| Professor | 9 | 5% |
| Other | 36 | 21% |
| Unknown | 15 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 91 | 54% |
| Biochemistry, Genetics and Molecular Biology | 22 | 13% |
| Computer Science | 5 | 3% |
| Medicine and Dentistry | 4 | 2% |
| Environmental Science | 3 | 2% |
| Other | 11 | 7% |
| Unknown | 32 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 03 November 2011.
All research outputs
#15,694,980
of 23,322,258 outputs
Outputs from BMC Bioinformatics
#5,481
of 7,385 outputs
Outputs of similar age
#96,922
of 140,922 outputs
Outputs of similar age from BMC Bioinformatics
#72
of 101 outputs
Altmetric has tracked 23,322,258 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,385 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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 140,922 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.