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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
France | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
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
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.