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Batch correction of microarray data substantially improves the identification of genes differentially expressed in Rheumatoid Arthritis and Osteoarthritis

Overview of attention for article published in BMC Medical Genomics, June 2012
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Title
Batch correction of microarray data substantially improves the identification of genes differentially expressed in Rheumatoid Arthritis and Osteoarthritis
Published in
BMC Medical Genomics, June 2012
DOI 10.1186/1755-8794-5-23
Pubmed ID
Authors

Peter Kupfer, Reinhard Guthke, Dirk Pohlers, Rene Huber, Dirk Koczan, Raimund W Kinne

Abstract

Batch effects due to sample preparation or array variation (type, charge, and/or platform) may influence the results of microarray experiments and thus mask and/or confound true biological differences. Of the published approaches for batch correction, the algorithm "Combating Batch Effects When Combining Batches of Gene Expression Microarray Data" (ComBat) appears to be most suitable for small sample sizes and multiple batches.

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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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
United Kingdom 1 1%
New Zealand 1 1%
Argentina 1 1%
Denmark 1 1%
Unknown 70 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 24%
Student > Ph. D. Student 14 19%
Student > Master 11 15%
Student > Doctoral Student 5 7%
Student > Bachelor 5 7%
Other 8 11%
Unknown 14 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 27%
Agricultural and Biological Sciences 13 17%
Medicine and Dentistry 10 13%
Immunology and Microbiology 4 5%
Computer Science 2 3%
Other 8 11%
Unknown 18 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 June 2012.
All research outputs
#15,245,883
of 22,668,244 outputs
Outputs from BMC Medical Genomics
#671
of 1,211 outputs
Outputs of similar age
#106,303
of 166,794 outputs
Outputs of similar age from BMC Medical Genomics
#13
of 20 outputs
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So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 35th percentile – i.e., 35% of its peers scored the same or lower than it.
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We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.