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Gradual transition from mosaic to global DNA methylation patterns during deuterostome evolution

Overview of attention for article published in BMC Bioinformatics, October 2010
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Title
Gradual transition from mosaic to global DNA methylation patterns during deuterostome evolution
Published in
BMC Bioinformatics, October 2010
DOI 10.1186/1471-2105-11-s7-s2
Pubmed ID
Authors

Kohji Okamura, Kazuaki A Matsumoto, Kenta Nakai

Abstract

DNA methylation by the Dnmt family occurs in vertebrates and invertebrates, including ascidians, and is thought to play important roles in gene regulation and genome stability, especially in vertebrates. However, the global methylation patterns of vertebrates and invertebrates are distinctive. Whereas almost all CpG sites are methylated in vertebrates, with the exception of those in CpG islands, the ascidian genome contains approximately equal amounts of methylated and unmethylated regions. Curiously, methylation status can be reliably estimated from the local frequency of CpG dinucleotides in the ascidian genome. Methylated and unmethylated regions tend to have few and many CpG sites, respectively, consistent with our knowledge of the methylation status of CpG islands and other regions in mammals. However, DNA methylation patterns and levels in vertebrates and invertebrates have not been analyzed in the same way.

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

Geographical breakdown

Country Count As %
France 1 2%
Brazil 1 2%
Sweden 1 2%
United Kingdom 1 2%
Denmark 1 2%
Spain 1 2%
Japan 1 2%
Unknown 45 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 31%
Student > Ph. D. Student 13 25%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Professor > Associate Professor 3 6%
Other 7 13%
Unknown 4 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 62%
Biochemistry, Genetics and Molecular Biology 10 19%
Environmental Science 2 4%
Computer Science 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 5 10%
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 28 March 2013.
All research outputs
#18,333,600
of 22,703,044 outputs
Outputs from BMC Bioinformatics
#6,289
of 7,254 outputs
Outputs of similar age
#88,656
of 98,990 outputs
Outputs of similar age from BMC Bioinformatics
#49
of 54 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,254 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 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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