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Mendeley readers
Attention Score in Context
Chapter title |
Analyzing mRNA Epigenetic Sequencing Data with TRESS.
|
---|---|
Chapter number | 12 |
Book title |
Computational Epigenomics and Epitranscriptomics
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Published in |
Methods in molecular biology, January 2023
|
DOI | 10.1007/978-1-0716-2962-8_12 |
Pubmed ID | |
Book ISBNs |
978-1-07-162961-1, 978-1-07-162962-8
|
Authors |
Guo, Zhenxing, Shafik, Andrew M, Jin, Peng, Wu, Zhijin, Wu, Hao, Shafik, Andrew M., Zhenxing Guo, Andrew M. Shafik, Peng Jin, Zhijin Wu, Hao Wu |
Abstract |
RNA epigenetics has emerged as an active topic to study gene regulation mechanisms. In this regard, the MeRIP-seq technology allows profiling transcriptome-wide mRNA modifications, in particular m6A. The primary goals for the analysis of MeRIP-seq data are the identification of m6A-methylated regions under each condition and across different biological conditions. Here we describe detailed procedures to guide researchers in MeRIP-seq data analyses by providing step-by-step instructions of the dedicated bioconductor package TRESS. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 1 | 100% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 February 2023.
All research outputs
#15,990,815
of 25,295,968 outputs
Outputs from Methods in molecular biology
#4,725
of 14,174 outputs
Outputs of similar age
#230,017
of 476,778 outputs
Outputs of similar age from Methods in molecular biology
#187
of 722 outputs
Altmetric has tracked 25,295,968 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,174 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 63% 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 476,778 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 722 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.