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Mendeley readers
Attention Score in Context
Title |
Bis-class: a new classification tool of methylation status using bayes classifier and local methylation information
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Published in |
BMC Genomics, July 2014
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DOI | 10.1186/1471-2164-15-608 |
Pubmed ID | |
Authors |
Iksoo Huh, Xingyu Yang, Taesung Park, Soojin V Yi |
Abstract |
Whole genome sequencing of bisulfite converted DNA ('methylC-seq') method provides comprehensive information of DNA methylation. An important application of these whole genome methylation maps is classifying each position as a methylated versus non-methylated nucleotide. A widely used current method for this purpose, the so-called binomial method, is intuitive and straightforward, but lacks power when the sequence coverage and the genome-wide methylation level are low. These problems present a particular challenge when analyzing sparsely methylated genomes, such as those of many invertebrates and plants. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 30% |
Student > Ph. D. Student | 6 | 26% |
Student > Master | 4 | 17% |
Professor > Associate Professor | 2 | 9% |
Student > Doctoral Student | 1 | 4% |
Other | 2 | 9% |
Unknown | 1 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 61% |
Biochemistry, Genetics and Molecular Biology | 6 | 26% |
Environmental Science | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Engineering | 1 | 4% |
Other | 0 | 0% |
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 21 July 2014.
All research outputs
#18,375,064
of 22,758,963 outputs
Outputs from BMC Genomics
#8,167
of 10,637 outputs
Outputs of similar age
#163,498
of 228,762 outputs
Outputs of similar age from BMC Genomics
#138
of 207 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,637 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 207 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.