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Selection of optimal reference genes for normalization in quantitative RT-PCR

Overview of attention for article published in BMC Bioinformatics, May 2010
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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

Citations

dimensions_citation
78 Dimensions

Readers on

mendeley
178 Mendeley
citeulike
2 CiteULike
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Title
Selection of optimal reference genes for normalization in quantitative RT-PCR
Published in
BMC Bioinformatics, May 2010
DOI 10.1186/1471-2105-11-253
Pubmed ID
Authors

Inna Chervoneva, Yanyan Li, Stephanie Schulz, Sean Croker, Chantell Wilson, Scott A Waldman, Terry Hyslop

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 4 2%
France 3 2%
United Kingdom 3 2%
Argentina 2 1%
United States 2 1%
Germany 2 1%
Chile 1 <1%
Spain 1 <1%
Italy 1 <1%
Other 0 0%
Unknown 159 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 22%
Researcher 36 20%
Student > Master 27 15%
Student > Bachelor 14 8%
Professor > Associate Professor 9 5%
Other 29 16%
Unknown 23 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 87 49%
Biochemistry, Genetics and Molecular Biology 25 14%
Medicine and Dentistry 13 7%
Veterinary Science and Veterinary Medicine 4 2%
Unspecified 4 2%
Other 18 10%
Unknown 27 15%
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 04 March 2021.
All research outputs
#7,473,822
of 22,849,304 outputs
Outputs from BMC Bioinformatics
#3,026
of 7,292 outputs
Outputs of similar age
#34,331
of 95,440 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 70 outputs
Altmetric has tracked 22,849,304 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 7,292 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 95,440 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.