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Mendeley readers
Attention Score in Context
| Title |
Optimized design and data analysis of tag-based cytosine methylation assays
|
|---|---|
| Published in |
Genome Biology, April 2010
|
| DOI | 10.1186/gb-2010-11-4-r36 |
| Pubmed ID | |
| Authors |
Masako Suzuki, Qiang Jing, Daniel Lia, Marién Pascual, Andrew McLellan, John M Greally |
| Abstract |
Using the type III restriction-modification enzyme EcoP15I, we isolated sequences flanking sites digested by the methylation-sensitive HpaII enzyme or its methylation-insensitive MspI isoschizomer for massively parallel sequencing. A novel data transformation allows us to normalise HpaII by MspI counts, resulting in more accurate quantification of methylation at >1.8 million loci in the human genome. This HELP-tagging assay is not sensitive to sequence polymorphism or base composition and allows exploration of both CG-rich and depleted genomic contexts. |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 4% |
| United Kingdom | 2 | 2% |
| Germany | 1 | 1% |
| Ireland | 1 | 1% |
| Sweden | 1 | 1% |
| Russia | 1 | 1% |
| Luxembourg | 1 | 1% |
| Unknown | 83 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 29% |
| Researcher | 25 | 27% |
| Professor | 7 | 7% |
| Professor > Associate Professor | 7 | 7% |
| Student > Master | 6 | 6% |
| Other | 12 | 13% |
| Unknown | 10 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 49% |
| Biochemistry, Genetics and Molecular Biology | 9 | 10% |
| Computer Science | 6 | 6% |
| Medicine and Dentistry | 6 | 6% |
| Engineering | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 11 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 May 2010.
All research outputs
#17,285,036
of 25,371,288 outputs
Outputs from Genome Biology
#4,093
of 4,467 outputs
Outputs of similar age
#85,546
of 103,521 outputs
Outputs of similar age from Genome Biology
#32
of 33 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
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 is in the 5th percentile – i.e., 5% 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 103,521 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.