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BeadArray Expression Analysis Using Bioconductor

Overview of attention for article published in PLoS Computational Biology, December 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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2 X users
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1 patent

Citations

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49 Dimensions

Readers on

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234 Mendeley
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6 CiteULike
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Title
BeadArray Expression Analysis Using Bioconductor
Published in
PLoS Computational Biology, December 2011
DOI 10.1371/journal.pcbi.1002276
Pubmed ID
Authors

Matthew E. Ritchie, Mark J. Dunning, Mike L. Smith, Wei Shi, Andy G. Lynch

Abstract

Illumina whole-genome expression BeadArrays are a popular choice in gene profiling studies. Aside from the vendor-provided software tools for analyzing BeadArray expression data (GenomeStudio/BeadStudio), there exists a comprehensive set of open-source analysis tools in the Bioconductor project, many of which have been tailored to exploit the unique properties of this platform. In this article, we explore a number of these software packages and demonstrate how to perform a complete analysis of BeadArray data in various formats. The key steps of importing data, performing quality assessments, preprocessing, and annotation in the common setting of assessing differential expression in designed experiments will be covered.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 4%
United Kingdom 7 3%
Italy 4 2%
Germany 3 1%
Netherlands 3 1%
Ukraine 2 <1%
Sweden 2 <1%
France 2 <1%
Spain 2 <1%
Other 9 4%
Unknown 191 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 72 31%
Student > Ph. D. Student 57 24%
Student > Master 25 11%
Professor > Associate Professor 16 7%
Student > Bachelor 13 6%
Other 33 14%
Unknown 18 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 115 49%
Biochemistry, Genetics and Molecular Biology 33 14%
Medicine and Dentistry 20 9%
Computer Science 13 6%
Mathematics 11 5%
Other 22 9%
Unknown 20 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 June 2023.
All research outputs
#7,356,550
of 25,374,917 outputs
Outputs from PLoS Computational Biology
#4,995
of 8,960 outputs
Outputs of similar age
#59,365
of 246,218 outputs
Outputs of similar age from PLoS Computational Biology
#49
of 133 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 69th percentile.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 246,218 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 73% of its contemporaries.
We're also able to compare this research output to 133 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 63% of its contemporaries.