Title |
Comparative DNA methylome analysis of endometrial carcinoma reveals complex and distinct deregulation of cancer promoters and enhancers
|
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Published in |
BMC Genomics, October 2014
|
DOI | 10.1186/1471-2164-15-868 |
Pubmed ID | |
Authors |
Bo Zhang, XiaoYun Xing, Jing Li, Rebecca F Lowdon, Yan Zhou, Nan Lin, Baoxue Zhang, Vasavi Sundaram, Katherine B Chiappinelli, Ian S Hagemann, David G Mutch, Paul J Goodfellow, Ting Wang |
Abstract |
Aberrant DNA methylation is a hallmark of many cancers. Classically there are two types of endometrial cancer, endometrioid adenocarcinoma (EAC), or Type I, and uterine papillary serous carcinoma (UPSC), or Type II. However, the whole genome DNA methylation changes in these two classical types of endometrial cancer is still unknown. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 3% |
Belgium | 1 | 2% |
Unknown | 62 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 25% |
Researcher | 10 | 15% |
Student > Master | 10 | 15% |
Student > Bachelor | 4 | 6% |
Student > Doctoral Student | 4 | 6% |
Other | 9 | 14% |
Unknown | 12 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 31% |
Biochemistry, Genetics and Molecular Biology | 16 | 25% |
Medicine and Dentistry | 7 | 11% |
Engineering | 2 | 3% |
Psychology | 1 | 2% |
Other | 3 | 5% |
Unknown | 16 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 July 2020.
All research outputs
#5,874,429
of 22,765,347 outputs
Outputs from BMC Genomics
#2,424
of 10,638 outputs
Outputs of similar age
#62,126
of 254,545 outputs
Outputs of similar age from BMC Genomics
#36
of 209 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,638 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 76% 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 254,545 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 75% of its contemporaries.
We're also able to compare this research output to 209 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.