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CG dinucleotide clustering is a species-specific property of the genome

Overview of attention for article published in Nucleic Acids Research, October 2007
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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4 X users
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3 patents

Citations

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70 Dimensions

Readers on

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92 Mendeley
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4 CiteULike
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6 Connotea
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Title
CG dinucleotide clustering is a species-specific property of the genome
Published in
Nucleic Acids Research, October 2007
DOI 10.1093/nar/gkm489
Pubmed ID
Authors

Jacob L. Glass, Reid F. Thompson, Batbayar Khulan, Maria E. Figueroa, Emmanuel N. Olivier, Erin J. Oakley, Gary Van Zant, Eric E. Bouhassira, Ari Melnick, Aaron Golden, Melissa J. Fazzari, John M. Greally

Abstract

Cytosines at cytosine-guanine (CG) dinucleotides are the near-exclusive target of DNA methyltransferases in mammalian genomes. Spontaneous deamination of methylcytosine to thymine makes methylated cytosines unusually susceptible to mutation and consequent depletion. The loci where CG dinucleotides remain relatively enriched, presumably due to their unmethylated status during the germ cell cycle, have been referred to as CpG islands. Currently, CpG islands are solely defined by base compositional criteria, allowing annotation of any sequenced genome. Using a novel bioinformatic approach, we show that CG clusters can be identified as an inherent property of genomic sequence without imposing a base compositional a priori assumption. We also show that the CG clusters co-localize in the human genome with hypomethylated loci and annotated transcription start sites to a greater extent than annotations produced by prior CpG island definitions. Moreover, this new approach allows CG clusters to be identified in a species-specific manner, revealing a degree of orthologous conservation that is not revealed by current base compositional approaches. Finally, our approach is able to identify methylating genomes (such as Takifugu rubripes) that lack CG clustering entirely, in which it is inappropriate to annotate CpG islands or CG clusters.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 2 2%
Germany 1 1%
Netherlands 1 1%
Portugal 1 1%
Brazil 1 1%
Australia 1 1%
France 1 1%
Belgium 1 1%
Other 3 3%
Unknown 78 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 27%
Student > Ph. D. Student 15 16%
Professor 15 16%
Professor > Associate Professor 9 10%
Student > Master 8 9%
Other 13 14%
Unknown 7 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 50 54%
Biochemistry, Genetics and Molecular Biology 13 14%
Medicine and Dentistry 5 5%
Computer Science 4 4%
Engineering 3 3%
Other 7 8%
Unknown 10 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 August 2023.
All research outputs
#7,047,954
of 25,374,917 outputs
Outputs from Nucleic Acids Research
#11,822
of 27,552 outputs
Outputs of similar age
#25,429
of 83,325 outputs
Outputs of similar age from Nucleic Acids Research
#37
of 106 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 27,552 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 83,325 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 69% of its contemporaries.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.