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A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants

Overview of attention for article published in Analytical & Bioanalytical Chemistry, December 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

policy
1 policy source
patent
2 patents

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
62 Mendeley
citeulike
1 CiteULike
Title
A theoretical introduction to “Combinatory SYBR®Green qPCR Screening”, a matrix-based approach for the detection of materials derived from genetically modified plants
Published in
Analytical & Bioanalytical Chemistry, December 2009
DOI 10.1007/s00216-009-3286-7
Pubmed ID
Authors

Marc Van den Bulcke, Antoon Lievens, Elodie Barbau-Piednoir, Guillaume MbongoloMbella, Nancy Roosens, Myriam Sneyers, Amaya Leunda Casi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Italy 1 2%
United Kingdom 1 2%
Russia 1 2%
Spain 1 2%
United States 1 2%
Unknown 56 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 31%
Student > Bachelor 15 24%
Student > Ph. D. Student 7 11%
Other 6 10%
Student > Master 4 6%
Other 6 10%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 26 42%
Biochemistry, Genetics and Molecular Biology 12 19%
Physics and Astronomy 3 5%
Veterinary Science and Veterinary Medicine 2 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 11 18%
Unknown 6 10%
Attention Score in Context

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 25 July 2017.
All research outputs
#5,525,125
of 25,655,374 outputs
Outputs from Analytical & Bioanalytical Chemistry
#900
of 9,702 outputs
Outputs of similar age
#29,303
of 178,381 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#6
of 43 outputs
Altmetric has tracked 25,655,374 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 9,702 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 85% 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 178,381 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 78% of its contemporaries.
We're also able to compare this research output to 43 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 74% of its contemporaries.