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Selecting control genes for RT-QPCR using public microarray data

Overview of attention for article published in BMC Bioinformatics, February 2009
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
2 patents

Readers on

mendeley
104 Mendeley
citeulike
9 CiteULike
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Title
Selecting control genes for RT-QPCR using public microarray data
Published in
BMC Bioinformatics, February 2009
DOI 10.1186/1471-2105-10-42
Pubmed ID
Authors

Vlad Popovici, Darlene R Goldstein, Janine Antonov, Rolf Jaggi, Mauro Delorenzi, Pratyaksha Wirapati

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Germany 2 2%
Chile 2 2%
Brazil 2 2%
Australia 1 <1%
Norway 1 <1%
Portugal 1 <1%
South Africa 1 <1%
Czechia 1 <1%
Other 6 6%
Unknown 84 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 37%
Student > Ph. D. Student 28 27%
Professor > Associate Professor 10 10%
Other 7 7%
Student > Bachelor 6 6%
Other 14 13%
Unknown 1 <1%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 63%
Medicine and Dentistry 13 13%
Biochemistry, Genetics and Molecular Biology 12 12%
Computer Science 4 4%
Engineering 2 2%
Other 4 4%
Unknown 4 4%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 November 2012.
All research outputs
#7,531,132
of 22,979,862 outputs
Outputs from BMC Bioinformatics
#3,036
of 7,308 outputs
Outputs of similar age
#49,863
of 171,034 outputs
Outputs of similar age from BMC Bioinformatics
#20
of 57 outputs
Altmetric has tracked 22,979,862 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,308 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 50% 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 171,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.