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Attention Score in Context
Title |
H3K4me3 inversely correlates with DNA methylation at a large class of non-CpG-island-containing start sites
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Published in |
Genome Medicine, May 2012
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DOI | 10.1186/gm346 |
Pubmed ID | |
Authors |
Dheepa Balasubramanian, Batool Akhtar-Zaidi, Lingyun Song, Cynthia F Bartels, Martina Veigl, Lydia Beard, Lois Myeroff, Kishore Guda, James Lutterbaugh, Joseph Willis, Gregory E Crawford, Sanford D Markowitz, Peter C Scacheri |
Abstract |
In addition to mutations, epigenetic silencing of genes has been recognized as a fundamental mechanism that promotes human carcinogenesis. To date, characterization of epigenetic gene silencing has largely focused on genes in which silencing is mediated by hypermethylation of promoter-associated CpG islands, associated with loss of the H3K4me3 chromatin mark. Far less is known about promoters lacking CpG-islands or genes that are repressed by alternative mechanisms. |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 3 | 60% |
United States | 1 | 20% |
India | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 60% |
Members of the public | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Chile | 1 | 1% |
United States | 1 | 1% |
Netherlands | 1 | 1% |
Unknown | 69 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 26% |
Researcher | 18 | 25% |
Student > Bachelor | 8 | 11% |
Student > Doctoral Student | 7 | 10% |
Student > Master | 6 | 8% |
Other | 12 | 16% |
Unknown | 3 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 37 | 51% |
Biochemistry, Genetics and Molecular Biology | 22 | 30% |
Medicine and Dentistry | 6 | 8% |
Mathematics | 2 | 3% |
Immunology and Microbiology | 2 | 3% |
Other | 1 | 1% |
Unknown | 3 | 4% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 20 June 2012.
All research outputs
#3,211,968
of 25,371,288 outputs
Outputs from Genome Medicine
#714
of 1,585 outputs
Outputs of similar age
#20,736
of 178,785 outputs
Outputs of similar age from Genome Medicine
#6
of 22 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,585 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 54% 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 178,785 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 22 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 68% of its contemporaries.