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Long noncoding RNAs in DNA methylation: new players stepping into the old game

Overview of attention for article published in Cell & Bioscience, July 2016
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Citations

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162 Mendeley
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Title
Long noncoding RNAs in DNA methylation: new players stepping into the old game
Published in
Cell & Bioscience, July 2016
DOI 10.1186/s13578-016-0109-3
Pubmed ID
Authors

Yu Zhao, Hao Sun, Huating Wang

Abstract

Long non-coding RNAs (lncRNAs) are being discovered as a novel family of regulators of gene expression at the epigenetic level. Emerging lines of evidence demonstrate that interplays between lncRNAs and DNA methylation machinery are an important layer of epigenetic regulation. Here in this mini-review we summarize the current findings in the field and focus particularly on the interactions mediated through direct physical association between lncRNAs and DNA methyltransferases (DNMTs).

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

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 161 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 20%
Student > Postgraduate 29 18%
Researcher 25 15%
Student > Bachelor 19 12%
Student > Master 15 9%
Other 20 12%
Unknown 21 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 76 47%
Agricultural and Biological Sciences 35 22%
Medicine and Dentistry 8 5%
Neuroscience 4 2%
Computer Science 3 2%
Other 13 8%
Unknown 23 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 July 2016.
All research outputs
#13,240,863
of 22,880,691 outputs
Outputs from Cell & Bioscience
#240
of 936 outputs
Outputs of similar age
#185,425
of 354,317 outputs
Outputs of similar age from Cell & Bioscience
#4
of 11 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 936 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 73% 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 354,317 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 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 63% of its contemporaries.