| Title |
Integrative epigenomic analysis of differential DNA methylation in urothelial carcinoma
|
|---|---|
| Published in |
Genome Medicine, March 2015
|
| DOI | 10.1186/s13073-015-0144-4 |
| Pubmed ID | |
| Authors |
Mattias Aine, Gottfrid Sjödahl, Pontus Eriksson, Srinivas Veerla, David Lindgren, Markus Ringnér, Mattias Höglund |
| Abstract |
Urothelial carcinoma of the bladder (UC) is a common malignancy. Although extensive transcriptome analysis has provided insights into the gene expression patterns of this tumor type, the mechanistic underpinnings of differential methylation remain poorly understood. Multi-level genomic data may be used to profile the regulatory potential and landscape of differential methylation in cancer and gain understanding of the processes underlying epigenetic and phenotypic characteristics of tumors. |
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 States | 1 | 20% |
| Denmark | 1 | 20% |
| France | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 3% |
| Denmark | 1 | 3% |
| Unknown | 33 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 29% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Bachelor | 4 | 11% |
| Student > Doctoral Student | 4 | 11% |
| Student > Master | 4 | 11% |
| Other | 4 | 11% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 31% |
| Biochemistry, Genetics and Molecular Biology | 10 | 29% |
| Medicine and Dentistry | 5 | 14% |
| Computer Science | 3 | 9% |
| Philosophy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 4 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 30 March 2015.
All research outputs
#7,721,758
of 25,393,528 outputs
Outputs from Genome Medicine
#1,187
of 1,587 outputs
Outputs of similar age
#83,288
of 274,377 outputs
Outputs of similar age from Genome Medicine
#23
of 32 outputs
Altmetric has tracked 25,393,528 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,587 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 24th percentile – i.e., 24% 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 274,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.