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Hybridization and amplification rate correction for affymetrix SNP arrays

Overview of attention for article published in BMC Medical Genomics, June 2012
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters

Citations

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4 Dimensions

Readers on

mendeley
14 Mendeley
Title
Hybridization and amplification rate correction for affymetrix SNP arrays
Published in
BMC Medical Genomics, June 2012
DOI 10.1186/1755-8794-5-24
Pubmed ID
Authors

Quan Wang, Peichao Peng, Minping Qian, Lin Wan, Minghua Deng

Abstract

Copy number variation (CNV) is essential to understand the pathology of many complex diseases at the DNA level. Affymetrix SNP arrays, which are widely used for CNV studies, significantly depend on accurate copy number (CN) estimation. Nevertheless, CN estimation may be biased by several factors, including cross-hybridization and training sample batch, as well as genomic waves of intensities induced by sequence-dependent hybridization rate and amplification efficiency. Since many available algorithms only address one or two of the three factors, a high false discovery rate (FDR) often results when identifying CNV. Therefore, we have developed a new CNV detection pipeline which is based on hybridization and amplification rate correction (CNVhac).

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Researcher 3 21%
Student > Postgraduate 2 14%
Student > Master 1 7%
Student > Bachelor 1 7%
Other 2 14%
Readers by discipline Count As %
Medicine and Dentistry 5 36%
Agricultural and Biological Sciences 5 36%
Computer Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Chemistry 1 7%
Other 1 7%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 July 2012.
All research outputs
#1,810,763
of 3,627,464 outputs
Outputs from BMC Medical Genomics
#119
of 235 outputs
Outputs of similar age
#28,339
of 73,540 outputs
Outputs of similar age from BMC Medical Genomics
#9
of 16 outputs
Altmetric has tracked 3,627,464 research outputs across all sources so far. This one is in the 45th percentile – i.e., 45% of other outputs scored the same or lower than it.
So far Altmetric has tracked 235 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 40th percentile – i.e., 40% 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 73,540 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 55% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.