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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning
|
|---|---|
| Published in |
Genome Biology, April 2017
|
| DOI | 10.1186/s13059-017-1189-z |
| Pubmed ID | |
| Authors |
Christof Angermueller, Heather J. Lee, Wolf Reik, Oliver Stegle |
| Abstract |
Recent technological advances have enabled DNA methylation to be assayed at single-cell resolution. However, current protocols are limited by incomplete CpG coverage and hence methods to predict missing methylation states are critical to enable genome-wide analyses. We report DeepCpG, a computational approach based on deep neural networks to predict methylation states in single cells. We evaluate DeepCpG on single-cell methylation data from five cell types generated using alternative sequencing protocols. DeepCpG yields substantially more accurate predictions than previous methods. Additionally, we show that the model parameters can be interpreted, thereby providing insights into how sequence composition affects methylation variability. |
X Demographics
The data shown below were collected from the profiles of 102 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 | 22 | 22% |
| United Kingdom | 13 | 13% |
| Spain | 5 | 5% |
| India | 4 | 4% |
| France | 4 | 4% |
| Germany | 3 | 3% |
| Australia | 3 | 3% |
| Austria | 2 | 2% |
| Singapore | 1 | <1% |
| Other | 10 | 10% |
| Unknown | 35 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 60 | 59% |
| Members of the public | 40 | 39% |
| Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 754 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| Denmark | 2 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Sweden | 1 | <1% |
| Germany | 1 | <1% |
| Belgium | 1 | <1% |
| Japan | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 742 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 200 | 27% |
| Researcher | 128 | 17% |
| Student > Master | 91 | 12% |
| Student > Bachelor | 48 | 6% |
| Student > Doctoral Student | 27 | 4% |
| Other | 111 | 15% |
| Unknown | 149 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 166 | 22% |
| Computer Science | 141 | 19% |
| Agricultural and Biological Sciences | 130 | 17% |
| Engineering | 40 | 5% |
| Mathematics | 19 | 3% |
| Other | 84 | 11% |
| Unknown | 174 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 152. 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 20 June 2023.
All research outputs
#269,503
of 25,382,440 outputs
Outputs from Genome Biology
#99
of 4,468 outputs
Outputs of similar age
#5,702
of 324,617 outputs
Outputs of similar age from Genome Biology
#3
of 62 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% 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 has done particularly well, scoring higher than 97% 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 324,617 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 98% of its contemporaries.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.