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BeadDatapackR: A Tool to Facilitate the Sharing of Raw Data from Illumina BeadArray Studies

Overview of attention for article published in Cancer Informatics, September 2010
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3 patents

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18 Mendeley
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1 CiteULike
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Article details
Title
BeadDatapackR: A Tool to Facilitate the Sharing of Raw Data from Illumina BeadArray Studies
Published in
Cancer Informatics, September 2010
DOI 10.1177/117693511000900001
Pubmed ID
Authors
Abstract

Microarray technologies have been an increasingly important tool in cancer research in the last decade, and a number of initiatives have sought to stress the importance of the provision and sharing of raw microarray data. Illumina BeadArrays provide a particular problem in this regard, as their random construction simultaneously adds value to analysis of the raw data and obstructs the sharing of those data.We present a compression scheme for raw Illumina BeadArray data, designed to ease the burdens of sharing and storing such data, that is implemented in the BeadDataPackR BioConductor package (http://bioconductor.org/packages/release/bioc/html/BeadDataPackR.html). It offers two key advantages over off-the-peg compression tools. First it uses knowledge of the data formats to achieve greater compression than other approaches, and second it does not need to be decompressed for analysis, but rather the values held within can be directly accessed.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 2 11%
United Kingdom 2 11%
Unknown 14 78%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 5 28%
Student > Ph. D. Student 4 22%
Student > Master 4 22%
Other 2 11%
Professor > Associate Professor 2 11%
Other 1 6%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 10 56%
Mathematics 3 17%
Computer Science 2 11%
Medicine and Dentistry 2 11%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 0 0%
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 06 October 2026.
All research outputs
#10,882,271
of 31,439,095 outputs
Outputs from Cancer Informatics
#90
of 446 outputs
Outputs of similar age
#52,635
of 136,937 outputs
Outputs of similar age from Cancer Informatics
#1
of 2 outputs
Altmetric has tracked 31,439,095 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 446 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 76% 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 136,937 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them