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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MethylPurify: tumor purity deconvolution and differential methylation detection from single tumor DNA methylomes
|
|---|---|
| Published in |
Genome Biology, August 2014
|
| DOI | 10.1186/s13059-014-0419-x |
| Pubmed ID | |
| Authors |
Xiaoqi Zheng, Qian Zhao, Hua-Jun Wu, Wei Li, Haiyun Wang, Clifford A Meyer, Qian Alvin Qin, Han Xu, Chongzhi Zang, Peng Jiang, Fuqiang Li, Yong Hou, Jianxing He, Jun Wang, Jun Wang, Peng Zhang, Yong Zhang, Xiaole Shirley Liu |
| Abstract |
We propose a statistical algorithm MethylPurify that uses regions with bisulfite reads showing discordant methylation levels to infer tumor purity from tumor samples alone. MethylPurify can identify differentially methylated regions (DMRs) from individual tumor methylome samples, without genomic variation information or prior knowledge from other datasets. In simulations with mixed bisulfite reads from cancer and normal cell lines, MethylPurify correctly inferred tumor purity and identified over 96% of the DMRs. From patient data, MethylPurify gave satisfactory DMR calls from tumor methylome samples alone, and revealed potential missed DMRs by tumor to normal comparison due to tumor heterogeneity. |
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 % |
|---|---|---|
| China | 1 | 33% |
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 4% |
| Germany | 1 | <1% |
| Switzerland | 1 | <1% |
| New Zealand | 1 | <1% |
| Ireland | 1 | <1% |
| Spain | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 144 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 32% |
| Researcher | 30 | 19% |
| Student > Master | 13 | 8% |
| Student > Bachelor | 12 | 8% |
| Professor > Associate Professor | 10 | 6% |
| Other | 25 | 16% |
| Unknown | 16 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 68 | 44% |
| Biochemistry, Genetics and Molecular Biology | 24 | 15% |
| Computer Science | 18 | 12% |
| Mathematics | 6 | 4% |
| Medicine and Dentistry | 6 | 4% |
| Other | 11 | 7% |
| Unknown | 23 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 18 November 2020.
All research outputs
#2,732,135
of 25,373,627 outputs
Outputs from Genome Biology
#2,130
of 4,467 outputs
Outputs of similar age
#27,029
of 241,595 outputs
Outputs of similar age from Genome Biology
#29
of 87 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% 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 52% 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 241,595 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 87 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 66% of its contemporaries.