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X Demographics
Mendeley readers
Attention Score in Context
Title |
Comprehensive analysis of DNA methylation data with RnBeads
|
---|---|
Published in |
Nature Methods, September 2014
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DOI | 10.1038/nmeth.3115 |
Pubmed ID | |
Authors |
Yassen Assenov, Fabian Müller, Pavlo Lutsik, Jörn Walter, Thomas Lengauer, Christoph Bock |
Abstract |
RnBeads is a software tool for large-scale analysis and interpretation of DNA methylation data, providing a user-friendly analysis workflow that yields detailed hypertext reports (http://rnbeads.mpi-inf.mpg.de/). Supported assays include whole-genome bisulfite sequencing, reduced representation bisulfite sequencing, Infinium microarrays and any other protocol that produces high-resolution DNA methylation data. Notable applications of RnBeads include the analysis of epigenome-wide association studies and epigenetic biomarker discovery in cancer cohorts. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 2 | 25% |
United Kingdom | 1 | 13% |
Spain | 1 | 13% |
France | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 75% |
Scientists | 2 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 556 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 10 | 2% |
Germany | 4 | <1% |
Spain | 3 | <1% |
Italy | 1 | <1% |
Hong Kong | 1 | <1% |
India | 1 | <1% |
Singapore | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Switzerland | 1 | <1% |
Other | 4 | <1% |
Unknown | 529 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 157 | 28% |
Researcher | 135 | 24% |
Student > Master | 52 | 9% |
Student > Bachelor | 39 | 7% |
Student > Doctoral Student | 28 | 5% |
Other | 69 | 12% |
Unknown | 76 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 168 | 30% |
Biochemistry, Genetics and Molecular Biology | 165 | 30% |
Medicine and Dentistry | 41 | 7% |
Computer Science | 31 | 6% |
Neuroscience | 10 | 2% |
Other | 44 | 8% |
Unknown | 97 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 47. 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 15 February 2023.
All research outputs
#905,927
of 26,017,215 outputs
Outputs from Nature Methods
#1,184
of 5,404 outputs
Outputs of similar age
#9,413
of 267,420 outputs
Outputs of similar age from Nature Methods
#15
of 84 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,404 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.7. This one has done well, scoring higher than 78% 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 267,420 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 96% of its contemporaries.
We're also able to compare this research output to 84 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.