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Estimation of CpG coverage in whole methylome next-generation sequencing studies

Overview of attention for article published in BMC Bioinformatics, February 2013
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2 tweeters

Citations

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Title
Estimation of CpG coverage in whole methylome next-generation sequencing studies
Published in
BMC Bioinformatics, February 2013
DOI 10.1186/1471-2105-14-50
Pubmed ID
Authors

Edwin JCG van den Oord, Jozsef Bukszar, Gábor Rudolf, Srilaxmi Nerella, Joseph L McClay, Lin Y Xie, Karolina A Aberg

Abstract

Methylation studies are a promising complement to genetic studies of DNA sequence. However, detailed prior biological knowledge is typically lacking, so methylome-wide association studies (MWAS) will be critical to detect disease relevant sites. A cost-effective approach involves the next-generation sequencing (NGS) of single-end libraries created from samples that are enriched for methylated DNA fragments. A limitation of single-end libraries is that the fragment size distribution is not observed. This hampers several aspects of the data analysis such as the calculation of enrichment measures that are based on the number of fragments covering the CpGs.

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

Geographical breakdown

Country Count As %
United States 3 5%
Japan 1 2%
Luxembourg 1 2%
Belgium 1 2%
Unknown 49 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 51%
Student > Ph. D. Student 7 13%
Professor > Associate Professor 5 9%
Professor 3 5%
Other 3 5%
Other 6 11%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 44%
Biochemistry, Genetics and Molecular Biology 10 18%
Medicine and Dentistry 4 7%
Mathematics 3 5%
Computer Science 2 4%
Other 4 7%
Unknown 8 15%

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 18 February 2013.
All research outputs
#13,603,753
of 20,419,783 outputs
Outputs from BMC Bioinformatics
#4,953
of 6,775 outputs
Outputs of similar age
#170,665
of 274,388 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 32 outputs
Altmetric has tracked 20,419,783 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,775 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
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We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.