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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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1 X user

Citations

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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

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 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 > Bachelor 5 7%
Student > Doctoral Student 5 7%
Other 7 9%
Unknown 15 20%
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 7 9%
Unknown 19 25%
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
#17,700,438
of 25,837,817 outputs
Outputs from BMC Medical Genomics
#1,343
of 2,466 outputs
Outputs of similar age
#121,158
of 181,669 outputs
Outputs of similar age from BMC Medical Genomics
#18
of 35 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,466 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 35th percentile – i.e., 35% 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 181,669 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.