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X Demographics
Mendeley readers
Attention Score in Context
| Title |
cepip: context-dependent epigenomic weighting for prioritization of regulatory variants and disease-associated genes
|
|---|---|
| Published in |
Genome Biology, March 2017
|
| DOI | 10.1186/s13059-017-1177-3 |
| Pubmed ID | |
| Authors |
Mulin Jun Li, Miaoxin Li, Zipeng Liu, Bin Yan, Zhicheng Pan, Dandan Huang, Qian Liang, Dingge Ying, Feng Xu, Hongcheng Yao, Panwen Wang, Jean-Pierre A. Kocher, Zhengyuan Xia, Pak Chung Sham, Jun S. Liu, Junwen Wang |
| Abstract |
It remains challenging to predict regulatory variants in particular tissues or cell types due to highly context-specific gene regulation. By connecting large-scale epigenomic profiles to expression quantitative trait loci (eQTLs) in a wide range of human tissues/cell types, we identify critical chromatin features that predict variant regulatory potential. We present cepip, a joint likelihood framework, for estimating a variant's regulatory probability in a context-dependent manner. Our method exhibits significant GWAS signal enrichment and is superior to existing cell type-specific methods. Furthermore, using phenotypically relevant epigenomes to weight the GWAS single-nucleotide polymorphisms, we improve the statistical power of the gene-based association test. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 7 | 39% |
| France | 2 | 11% |
| Colombia | 1 | 6% |
| United Kingdom | 1 | 6% |
| Unknown | 7 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 67% |
| Members of the public | 4 | 22% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
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 % |
|---|---|---|
| Finland | 1 | 2% |
| United States | 1 | 2% |
| Luxembourg | 1 | 2% |
| Unknown | 62 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 29% |
| Student > Ph. D. Student | 14 | 22% |
| Student > Bachelor | 6 | 9% |
| Student > Master | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 13 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 28% |
| Agricultural and Biological Sciences | 16 | 25% |
| Computer Science | 5 | 8% |
| Medicine and Dentistry | 3 | 5% |
| Chemical Engineering | 1 | 2% |
| Other | 4 | 6% |
| Unknown | 18 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 12 April 2017.
All research outputs
#4,128,928
of 25,382,440 outputs
Outputs from Genome Biology
#2,597
of 4,468 outputs
Outputs of similar age
#68,847
of 322,508 outputs
Outputs of similar age from Genome Biology
#40
of 59 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 41st percentile – i.e., 41% 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 322,508 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 78% of its contemporaries.
We're also able to compare this research output to 59 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.