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Critical assessment of digital PCR for the detection and quantification of genetically modified organisms

Overview of attention for article published in Analytical & Bioanalytical Chemistry, March 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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1 policy source
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Citations

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107 Dimensions

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188 Mendeley
Title
Critical assessment of digital PCR for the detection and quantification of genetically modified organisms
Published in
Analytical & Bioanalytical Chemistry, March 2018
DOI 10.1007/s00216-018-1010-1
Pubmed ID
Authors

Tigst Demeke, David Dobnik

Abstract

The number of genetically modified organisms (GMOs) on the market is steadily increasing. Because of regulation of cultivation and trade of GMOs in several countries, there is pressure for their accurate detection and quantification. Today, DNA-based approaches are more popular for this purpose than protein-based methods, and real-time quantitative PCR (qPCR) is still the gold standard in GMO analytics. However, digital PCR (dPCR) offers several advantages over qPCR, making this new technique appealing also for GMO analysis. This critical review focuses on the use of dPCR for the purpose of GMO quantification and addresses parameters which are important for achieving accurate and reliable results, such as the quality and purity of DNA and reaction optimization. Three critical factors are explored and discussed in more depth: correct classification of partitions as positive, correctly determined partition volume, and dilution factor. This review could serve as a guide for all laboratories implementing dPCR. Most of the parameters discussed are applicable to fields other than purely GMO testing. Graphical abstract There are generally three different options for absolute quantification of genetically modified organisms (GMOs) using digital PCR: droplet- or chamber-based and droplets in chambers. All have in common the distribution of reaction mixture into several partitions, which are all subjected to PCR and scored at the end-point as positive or negative. Based on these results GMO content can be calculated.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 188 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 12%
Researcher 23 12%
Student > Master 23 12%
Student > Bachelor 19 10%
Student > Postgraduate 7 4%
Other 25 13%
Unknown 68 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 39 21%
Agricultural and Biological Sciences 34 18%
Chemistry 9 5%
Engineering 7 4%
Immunology and Microbiology 6 3%
Other 21 11%
Unknown 72 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 11 April 2023.
All research outputs
#3,228,695
of 25,411,814 outputs
Outputs from Analytical & Bioanalytical Chemistry
#318
of 9,635 outputs
Outputs of similar age
#64,402
of 346,704 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#13
of 205 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,635 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 96% 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 346,704 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.