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Enhancer RNAs

Overview of attention for book
Cover of 'Enhancer RNAs'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Enhancer RNAs
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    Chapter 2 Enhancer RNAs
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    Chapter 3 Enhancer RNAs
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    Chapter 4 UV-RNA Immunoprecipitation (UV-RIP) Protocol in Neurons.
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    Chapter 5 Enhancer RNAs
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    Chapter 6 Enhancer RNAs
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    Chapter 7 Enhancer RNAs
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    Chapter 8 Enhancer RNAs
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    Chapter 9 Enhancer RNAs
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    Chapter 10 Enhancer RNAs
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    Chapter 11 Evaluating the Stability of mRNAs and Noncoding RNAs.
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    Chapter 12 A Novel Method to Quantify RNA-Protein Interactions In Situ Using FMTRIP and Proximity Ligation.
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    Chapter 13 Enhancer RNAs
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    Chapter 14 Enhancer RNAs
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    Chapter 15 Enhancer RNAs
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    Chapter 16 Enhancer RNAs
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    Chapter 17 Enhancer RNAs
Attention for Chapter 13: Enhancer RNAs
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Chapter title
Enhancer RNAs
Chapter number 13
Book title
Enhancer RNAs
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-4035-6_13
Pubmed ID
27662877
Book ISBNs
978-1-4939-4033-2, 978-1-4939-4035-6
Authors

Yang, Xinyi, Marsico, Annalisa, Xinyi Yang, Annalisa Marsico Ph.D., Annalisa Marsico

Editors

Ulf Andersson Ørom

Abstract

The accurate identification of transcription start regions corresponding to the promoters of known genes, novel coding, and noncoding transcripts, as well as enhancer elements, is a crucial step towards a complete understanding of state-specific gene regulatory networks. Recent high-throughput techniques, such as deepCAGE or single-molecule CAGE, have made it possible to identify the genome-wide location, relative expression, and differential usage of transcription start regions across hundreds of different tissues and cell lines. Here, we describe in detail the necessary computational analysis of CAGE data, with focus on two recent in silico methodologies for CAGE peak/profile definition and promoter recognition, namely the Decomposition-based Peak Identification (DPI) and the PROmiRNA software. We apply both methodologies to the challenging task of identifying primary microRNAs transcript (pri-miRNA) start sites and compare the results.

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X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 33%
Student > Bachelor 1 33%
Researcher 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 67%
Computer Science 1 33%
Attention Score in Context

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 25 September 2016.
All research outputs
#14,861,841
of 22,889,074 outputs
Outputs from Methods in molecular biology
#4,703
of 13,132 outputs
Outputs of similar age
#242,350
of 420,399 outputs
Outputs of similar age from Methods in molecular biology
#413
of 1,074 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 59% 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 420,399 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 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 56% of its contemporaries.

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