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RNA pre-amplification enables large-scale RT-qPCR gene-expression studies on limiting sample amounts

Overview of attention for article published in BMC Research Notes, November 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
118 Mendeley
citeulike
2 CiteULike
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Title
RNA pre-amplification enables large-scale RT-qPCR gene-expression studies on limiting sample amounts
Published in
BMC Research Notes, November 2009
DOI 10.1186/1756-0500-2-235
Pubmed ID
Authors

Joëlle Vermeulen, Stefaan Derveaux, Steve Lefever, Els De Smet, Katleen De Preter, Nurten Yigit, Anne De Paepe, Filip Pattyn, Frank Speleman, Jo Vandesompele

Abstract

The quantitative polymerase chain reaction (qPCR) is a widely utilized method for gene-expression analysis. However, insufficient material often compromises large-scale gene-expression studies. The aim of this study is to evaluate an RNA pre-amplification method to produce micrograms of cDNA as input for qPCR.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
Belgium 2 2%
United States 2 2%
Denmark 2 2%
India 1 <1%
Canada 1 <1%
Brazil 1 <1%
Chile 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 104 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 40%
Student > Ph. D. Student 35 30%
Other 7 6%
Professor 5 4%
Student > Bachelor 4 3%
Other 15 13%
Unknown 5 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 63 53%
Biochemistry, Genetics and Molecular Biology 20 17%
Medicine and Dentistry 12 10%
Immunology and Microbiology 4 3%
Neuroscience 3 3%
Other 7 6%
Unknown 9 8%
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 13 September 2010.
All research outputs
#6,440,922
of 25,374,917 outputs
Outputs from BMC Research Notes
#913
of 4,513 outputs
Outputs of similar age
#38,941
of 177,826 outputs
Outputs of similar age from BMC Research Notes
#3
of 17 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 79% 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 177,826 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 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.