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ReadqPCR and NormqPCR: R packages for the reading, quality checking and normalisation of RT-qPCR quantification cycle (Cq) data

Overview of attention for article published in BMC Genomics, January 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
5 tweeters

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
265 Mendeley
citeulike
4 CiteULike
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Title
ReadqPCR and NormqPCR: R packages for the reading, quality checking and normalisation of RT-qPCR quantification cycle (Cq) data
Published in
BMC Genomics, January 2012
DOI 10.1186/1471-2164-13-296
Authors

James R Perkins, John M Dawes, Steve B McMahon, David LH Bennett, Christine Orengo, Matthias Kohl

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 265 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Germany 2 <1%
Australia 2 <1%
France 1 <1%
Norway 1 <1%
Korea, Republic of 1 <1%
Chile 1 <1%
Sweden 1 <1%
Other 7 3%
Unknown 245 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 25%
Researcher 63 24%
Student > Master 36 14%
Student > Bachelor 19 7%
Student > Doctoral Student 13 5%
Other 44 17%
Unknown 23 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 122 46%
Biochemistry, Genetics and Molecular Biology 44 17%
Medicine and Dentistry 24 9%
Neuroscience 8 3%
Environmental Science 6 2%
Other 33 12%
Unknown 28 11%

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 09 July 2012.
All research outputs
#5,846,348
of 11,188,694 outputs
Outputs from BMC Genomics
#3,032
of 6,771 outputs
Outputs of similar age
#47,172
of 106,793 outputs
Outputs of similar age from BMC Genomics
#57
of 154 outputs
Altmetric has tracked 11,188,694 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,771 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 53% 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 106,793 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 154 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 62% of its contemporaries.