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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.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 2%
United Kingdom 1 2%
New Zealand 1 2%
Argentina 1 2%
Denmark 1 2%
Unknown 60 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 28%
Student > Ph. D. Student 12 18%
Student > Master 10 15%
Student > Bachelor 5 8%
Student > Doctoral Student 4 6%
Other 6 9%
Unknown 10 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 25%
Agricultural and Biological Sciences 13 20%
Medicine and Dentistry 9 14%
Immunology and Microbiology 4 6%
Computer Science 2 3%
Other 7 11%
Unknown 14 22%

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
#12,361,236
of 18,804,592 outputs
Outputs from BMC Medical Genomics
#565
of 997 outputs
Outputs of similar age
#83,773
of 137,043 outputs
Outputs of similar age from BMC Medical Genomics
#2
of 3 outputs
Altmetric has tracked 18,804,592 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 997 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 34th percentile – i.e., 34% 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 137,043 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.