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Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes

Overview of attention for article published in Genome Biology, June 2002
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
blogs
7 blogs
twitter
20 X users
patent
68 patents
wikipedia
10 Wikipedia pages
q&a
1 Q&A thread

Citations

dimensions_citation
16264 Dimensions

Readers on

mendeley
8355 Mendeley
citeulike
44 CiteULike
connotea
14 Connotea
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Title
Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes
Published in
Genome Biology, June 2002
DOI 10.1186/gb-2002-3-7-research0034
Pubmed ID
Authors

Jo Vandesompele, Katleen De Preter, Filip Pattyn, Bruce Poppe, Nadine Van Roy, Anne De Paepe, Frank Speleman

Abstract

Gene-expression analysis is increasingly important in biological research, with real-time reverse transcription PCR (RT-PCR) becoming the method of choice for high-throughput and accurate expression profiling of selected genes. Given the increased sensitivity, reproducibility and large dynamic range of this methodology, the requirements for a proper internal control gene for normalization have become increasingly stringent. Although housekeeping gene expression has been reported to vary considerably, no systematic survey has properly determined the errors related to the common practice of using only one control gene, nor presented an adequate way of working around this problem.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 8,355 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 87 1%
Brazil 55 <1%
United Kingdom 54 <1%
Germany 47 <1%
Belgium 26 <1%
Spain 22 <1%
Mexico 21 <1%
France 20 <1%
Portugal 19 <1%
Other 222 3%
Unknown 7782 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2107 25%
Researcher 1706 20%
Student > Master 1135 14%
Student > Bachelor 710 8%
Student > Doctoral Student 519 6%
Other 1152 14%
Unknown 1026 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 3907 47%
Biochemistry, Genetics and Molecular Biology 1439 17%
Medicine and Dentistry 642 8%
Neuroscience 175 2%
Immunology and Microbiology 163 2%
Other 758 9%
Unknown 1271 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 76. 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 02 April 2024.
All research outputs
#572,370
of 25,760,414 outputs
Outputs from Genome Biology
#334
of 4,514 outputs
Outputs of similar age
#393
of 48,337 outputs
Outputs of similar age from Genome Biology
#2
of 24 outputs
Altmetric has tracked 25,760,414 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,514 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done particularly well, scoring higher than 92% 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 48,337 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 99% of its contemporaries.
We're also able to compare this research output to 24 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 91% of its contemporaries.