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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
edgeR for Differential RNA-seq and ChIP-seq Analysis: An Application to Stem Cell Biology.
|
|---|---|
| Chapter number | 3 |
| Book title |
Stem Cell Transcriptional Networks
|
| Published in |
Methods in molecular biology, January 2014
|
| DOI | 10.1007/978-1-4939-0512-6_3 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-0511-9, 978-1-4939-0512-6
|
| Authors |
Olga Nikolayeva, Mark D Robinson, Mark D. Robinson, Nikolayeva, Olga, Robinson, Mark D. |
| Abstract |
The edgeR package, an R-based tool within the Bioconductor project, offers a flexible statistical framework for detection of changes in abundance based on counts. In this chapter, we illustrate the use of edgeR on a human embryonic stem cell dataset, in particular for RNA-seq and ChIP-seq data. We focus on a step-by-step statistical analysis of differential expression, going from raw data to a list of putative differentially expressed genes and give examples of integrative analysis using the ChIP-seq data. We emphasize data quality spot checks and the use of positive controls throughout the process and give practical recommendations for reproducible research. |
X Demographics
The data shown below were collected from the profiles of 7 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 | 29% |
| Switzerland | 2 | 29% |
| France | 1 | 14% |
| India | 1 | 14% |
| Unknown | 1 | 14% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
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 | 2 | 2% |
| Unknown | 92 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 30% |
| Researcher | 21 | 22% |
| Student > Master | 7 | 7% |
| Student > Doctoral Student | 6 | 6% |
| Professor | 5 | 5% |
| Other | 15 | 16% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 36 | 38% |
| Agricultural and Biological Sciences | 27 | 29% |
| Medicine and Dentistry | 9 | 10% |
| Computer Science | 6 | 6% |
| Immunology and Microbiology | 3 | 3% |
| Other | 0 | 0% |
| Unknown | 13 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 December 2014.
All research outputs
#7,112,501
of 24,875,286 outputs
Outputs from Methods in molecular biology
#2,125
of 13,969 outputs
Outputs of similar age
#79,643
of 317,834 outputs
Outputs of similar age from Methods in molecular biology
#89
of 565 outputs
Altmetric has tracked 24,875,286 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 13,969 research outputs from this source. They receive a mean Attention Score of 3.5. 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 317,834 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 74% of its contemporaries.
We're also able to compare this research output to 565 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.