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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Chromatin Immunoprecipitation and High-Throughput Sequencing (ChIP-Seq): Tips and Tricks Regarding the Laboratory Protocol and Initial Downstream Data Analysis
|
|---|---|
| Chapter number | 15 |
| Book title |
Epigenome Editing
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7774-1_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7773-4, 978-1-4939-7774-1
|
| Authors |
Darren K. Patten, Giacomo Corleone, Luca Magnani |
| Abstract |
Chromatin immunoprecipitation coupled with high-throughput sequencing (ChIP-seq) has become an essential tool for epigenetic scientists. ChIP-seq is used to map protein-DNA interactions and epigenetic marks such as histone modifications at the genome-wide level. Here we describe a complete ChIP-seq laboratory protocol (tailored toward processing tissue samples as well as cell lines) and the bioinformatic pipelines utilized for handling raw sequencing files through to peak calling. |
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 % |
|---|---|---|
| Canada | 2 | 25% |
| France | 1 | 13% |
| Brazil | 1 | 13% |
| United States | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 50% |
| Members of the public | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 21% |
| Student > Bachelor | 3 | 21% |
| Student > Master | 3 | 21% |
| Researcher | 2 | 14% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 57% |
| Agricultural and Biological Sciences | 2 | 14% |
| Immunology and Microbiology | 1 | 7% |
| Unknown | 3 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 March 2018.
All research outputs
#6,871,331
of 23,026,672 outputs
Outputs from Methods in molecular biology
#2,058
of 13,170 outputs
Outputs of similar age
#137,917
of 442,370 outputs
Outputs of similar age from Methods in molecular biology
#195
of 1,499 outputs
Altmetric has tracked 23,026,672 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 13,170 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 84% 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 442,370 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.