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G-spots cause incorrect expression measurement in Affymetrix microarrays

Overview of attention for article published in BMC Genomics, December 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
1 X user
q&a
1 Q&A thread

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
26 Mendeley
citeulike
2 CiteULike
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1 Connotea
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Title
G-spots cause incorrect expression measurement in Affymetrix microarrays
Published in
BMC Genomics, December 2008
DOI 10.1186/1471-2164-9-613
Pubmed ID
Authors

Graham JG Upton, William B Langdon, Andrew P Harrison

Abstract

High Density Oligonucleotide arrays (HDONAs), such as the Affymetrix HG-U133A GeneChip, use sets of probes chosen to match specified genes, with the expectation that if a particular gene is highly expressed then all the probes in that gene's probe set will provide a consistent message signifying the gene's presence. However, probes that contain a G-spot (a sequence of four or more guanines) behave abnormally and it has been suggested that these probes are responding to some biochemical effect such as the formation of G-quadruplexes.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 8%
United Kingdom 2 8%
United States 2 8%
Japan 1 4%
Canada 1 4%
Unknown 18 69%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 35%
Professor > Associate Professor 5 19%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Student > Postgraduate 2 8%
Other 4 15%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 42%
Computer Science 5 19%
Biochemistry, Genetics and Molecular Biology 3 12%
Medicine and Dentistry 1 4%
Chemistry 1 4%
Other 1 4%
Unknown 4 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 28 September 2019.
All research outputs
#1,285,206
of 24,707,218 outputs
Outputs from BMC Genomics
#226
of 11,048 outputs
Outputs of similar age
#4,850
of 180,286 outputs
Outputs of similar age from BMC Genomics
#3
of 129 outputs
Altmetric has tracked 24,707,218 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,048 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% 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 180,286 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 97% of its contemporaries.
We're also able to compare this research output to 129 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 98% of its contemporaries.