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Attention Score in Context
Chapter title |
Statistical Analysis and Quality Assessment of ChIP-seq Data with DROMPA
|
---|---|
Chapter number | 41 |
Book title |
Genome Instability
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7306-4_41 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7305-7, 978-1-4939-7306-4
|
Authors |
Ryuichiro Nakato, Katsuhiko Shirahige |
Abstract |
Chromatin immunoprecipitation followed by sequencing (ChIP-seq) analysis can detect protein/DNA-binding and histone-modification sites across an entire genome. As there are various factors during sample preparation that affect the obtained results, multilateral quality assessments are essential. Here, we describe a step-by-step protocol using DROMPA, a program for user-friendly ChIP-seq pipelining. DROMPA can be used for quality assessment, data normalization, visualization, peak calling, and multiple statistical analyses. |
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 % |
---|---|---|
Japan | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 1 | 9% |
Student > Doctoral Student | 1 | 9% |
Student > Bachelor | 1 | 9% |
Student > Ph. D. Student | 1 | 9% |
Student > Master | 1 | 9% |
Other | 1 | 9% |
Unknown | 5 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 27% |
Agricultural and Biological Sciences | 2 | 18% |
Medicine and Dentistry | 1 | 9% |
Unknown | 5 | 45% |
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 19 October 2017.
All research outputs
#18,574,814
of 23,006,268 outputs
Outputs from Methods in molecular biology
#7,961
of 13,160 outputs
Outputs of similar age
#330,447
of 442,254 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,498 outputs
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So far Altmetric has tracked 13,160 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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