↓ Skip to main content

Dynamic instability of genomic methylation patterns in pluripotent stem cells

Overview of attention for article published in Epigenetics & Chromatin, September 2010
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
86 Dimensions

Readers on

mendeley
148 Mendeley
citeulike
2 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Dynamic instability of genomic methylation patterns in pluripotent stem cells
Published in
Epigenetics & Chromatin, September 2010
DOI 10.1186/1756-8935-3-17
Pubmed ID
Authors

Steen KT Ooi, Daniel Wolf, Odelya Hartung, Suneet Agarwal, George Q Daley, Stephen P Goff, Timothy H Bestor

Abstract

Genomic methylation patterns are established during gametogenesis, and perpetuated in somatic cells by faithful maintenance methylation. There have been previous indications that genomic methylation patterns may be less stable in embryonic stem (ES) cells than in differentiated somatic cells, but it is not known whether different mechanisms of de novo and maintenance methylation operate in pluripotent stem cells compared with differentiating somatic cells.

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

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 1%
France 1 <1%
Brazil 1 <1%
Canada 1 <1%
Austria 1 <1%
Mexico 1 <1%
Taiwan 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 135 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 47 32%
Student > Ph. D. Student 30 20%
Professor > Associate Professor 16 11%
Student > Master 15 10%
Professor 12 8%
Other 18 12%
Unknown 10 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 90 61%
Biochemistry, Genetics and Molecular Biology 32 22%
Medicine and Dentistry 8 5%
Computer Science 2 1%
Immunology and Microbiology 2 1%
Other 3 2%
Unknown 11 7%
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 19 December 2013.
All research outputs
#18,357,514
of 22,736,112 outputs
Outputs from Epigenetics & Chromatin
#492
of 564 outputs
Outputs of similar age
#86,975
of 97,107 outputs
Outputs of similar age from Epigenetics & Chromatin
#3
of 5 outputs
Altmetric has tracked 22,736,112 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 564 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 7th percentile – i.e., 7% 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 97,107 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.