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A Microarray-based Detection System for Genetically Modified (GM) Food Ingredients

Overview of attention for article published in Plant Molecular Biology, May 2006
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
patent
2 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
115 Dimensions

Readers on

mendeley
79 Mendeley
Title
A Microarray-based Detection System for Genetically Modified (GM) Food Ingredients
Published in
Plant Molecular Biology, May 2006
DOI 10.1007/s11103-005-6173-4
Pubmed ID
Authors

Serge Leimanis, Marta Hernández, Sophie Fernández, Francine Boyer, Malcolm Burns, Shirin Bruderer, Thomas Glouden, Neil Harris, Othmar Kaeppeli, Patrick Philipp, Maria Pla, Pere Puigdomènech, Marc Vaitilingom, Yves Bertheau, José Remacle

Abstract

A multiplex DNA microarray chip was developed for simultaneous identification of nine genetically modified organisms (GMOs), five plant species and three GMO screening elements, i.e. the 35S promoter, the nos terminator and the nptII gene. The chips also include several controls, such as that for the possible presence of CaMV. The on-chip detection was performed directly with PCR amplified products. Particular emphasis was placed on the reduction of the number of PCR reactions required and on the number of primers present per amplification tube. The targets were biotin labelled and the arrays were detected using a colorimetric methodology. Specificity was provided by specific capture probes designed for each GMO and for the common screening elements. The sensitivity of the assay was tested by experiments carried out in five different laboratories. The limit of detection was lower than 0.3% GMO for all tests and in general around 0.1% for most GMOs. The chip detection system complies with the requirements of current EU regulations and other countries where thresholds are established for the labelling of GMO.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Italy 1 1%
Kenya 1 1%
Australia 1 1%
Spain 1 1%
Unknown 74 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 32%
Student > Ph. D. Student 16 20%
Student > Bachelor 10 13%
Other 4 5%
Student > Master 4 5%
Other 9 11%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 47%
Biochemistry, Genetics and Molecular Biology 13 16%
Engineering 3 4%
Chemistry 3 4%
Environmental Science 2 3%
Other 6 8%
Unknown 15 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 29 September 2017.
All research outputs
#2,661,640
of 22,705,019 outputs
Outputs from Plant Molecular Biology
#101
of 2,842 outputs
Outputs of similar age
#5,656
of 66,032 outputs
Outputs of similar age from Plant Molecular Biology
#1
of 16 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,842 research outputs from this source. They receive a mean Attention Score of 4.3. 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 66,032 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 16 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.