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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Pancancer analysis of DNA methylation-driven genes using MethylMix
|
|---|---|
| Published in |
Genome Biology, January 2015
|
| DOI | 10.1186/s13059-014-0579-8 |
| Pubmed ID | |
| Authors |
Olivier Gevaert, Robert Tibshirani, Sylvia K Plevritis |
| Abstract |
Aberrant DNA methylation is an important mechanism that contributes to oncogenesis. Yet, few algorithms exist that exploit this vast dataset to identify hypo- and hyper-methylated genes in cancer. We developed a novel computational algorithm called MethylMix to identify differentially methylated genes that are also predictive of transcription. We apply MethylMix to twelve individual cancer sites, and additionally combine all cancer sites in a pancancer analysis. We discover pancancer hypo- and hyper-methylated genes and identify novel methylation-driven subgroups with clinical implications. MethylMix analysis on combined cancer sites reveals ten pancancer clusters reflecting new similarities across malignantly transformed tissues. |
X Demographics
The data shown below were collected from the profiles of 17 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 | 4 | 24% |
| United States | 4 | 24% |
| Comoros | 1 | 6% |
| Italy | 1 | 6% |
| France | 1 | 6% |
| Belgium | 1 | 6% |
| Colombia | 1 | 6% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 53% |
| Scientists | 7 | 41% |
| Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Germany | 2 | 1% |
| Norway | 1 | <1% |
| Brazil | 1 | <1% |
| Turkey | 1 | <1% |
| Canada | 1 | <1% |
| Sweden | 1 | <1% |
| China | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 139 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 44 | 29% |
| Researcher | 37 | 24% |
| Student > Doctoral Student | 12 | 8% |
| Student > Bachelor | 8 | 5% |
| Student > Master | 8 | 5% |
| Other | 23 | 15% |
| Unknown | 20 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 39 | 26% |
| Biochemistry, Genetics and Molecular Biology | 28 | 18% |
| Computer Science | 21 | 14% |
| Medicine and Dentistry | 16 | 11% |
| Engineering | 6 | 4% |
| Other | 13 | 9% |
| Unknown | 29 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 13 June 2023.
All research outputs
#2,190,934
of 25,374,647 outputs
Outputs from Genome Biology
#1,822
of 4,467 outputs
Outputs of similar age
#30,061
of 361,629 outputs
Outputs of similar age from Genome Biology
#36
of 65 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 59% 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 361,629 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.