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Polycomb Group Proteins

Overview of attention for book
Cover of 'Polycomb Group Proteins'

Table of Contents

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    Book Overview
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    Chapter 1 Polycomb Group Proteins
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    Chapter 2 Polycomb Group Proteins
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    Chapter 3 Polycomb Group Proteins
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    Chapter 4 Polycomb Group Proteins
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    Chapter 5 Polycomb Group Proteins
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    Chapter 6 Polycomb Group Proteins
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    Chapter 7 Polycomb Group Proteins
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    Chapter 8 Polycomb Group Proteins
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    Chapter 9 Polycomb Group Proteins
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    Chapter 10 Polycomb Group Proteins
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    Chapter 11 Polycomb Group Proteins
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    Chapter 12 The Dynamics of Polycomb Complexes.
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    Chapter 13 Polycomb Group Proteins
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    Chapter 14 Analysis of Endogenous Protein Interactions of Polycomb Group of Proteins in Mouse Embryonic Stem Cells.
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    Chapter 15 Polycomb Group Proteins
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    Chapter 16 An Automatic Segmentation Method Combining an Active Contour Model and a Classification Technique for Detecting Polycomb-group Proteinsin High-Throughput Microscopy Images.
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    Chapter 17 Polycomb Group Proteins
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    Chapter 18 Polycomb Group Proteins
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    Chapter 19 Polycomb Group Proteins
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    Chapter 20 Polycomb Group Proteins
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    Chapter 21 Polycomb Group Proteins
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    Chapter 22 Polycomb Group Proteins
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    Chapter 23 A Rapid TALEN Assembly Protocol.
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    Chapter 24 Polycomb Group Proteins
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    Chapter 25 Polycomb Group Proteins
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    Chapter 26 Polycomb Group Proteins
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    Chapter 27 Polycomb Group Proteins
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    Chapter 28 Erratum to: Chromatin Preparation and Chromatin Immuno-precipitation from Drosophila Embryos
Attention for Chapter 9: Polycomb Group Proteins
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  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Chapter title
Polycomb Group Proteins
Chapter number 9
Book title
Polycomb Group Proteins
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6380-5_9
Pubmed ID
Book ISBNs
978-1-4939-6378-2, 978-1-4939-6380-5
Authors

Barnes, Claire, Kanhere, Aditi, Claire Barnes, Aditi Kanhere

Editors

Chiara Lanzuolo, Beatrice Bodega

Abstract

Recent advances in next-generation sequencing have revealed that majority of the human genome is transcribed into long and short RNA (ncRNA) transcripts. Many ncRNAs function by interacting with proteins and forming regulatory complexes. RNA-protein interactions are vital in controlling core cellular processes like transcription and translation. Therefore identifying proteins that interact with ncRNAs is central to deciphering ncRNA functions. Here we describe an RNA-protein pull-down assay, which enables the identification of proteins that interact with an RNA under study. As an example we describe pull-down of proteins interacting with ncRNA XIST, which assists in the recruitment of the polycomb-repressive complex-2 (PRC2) and drives X-chromosomal inactivation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 46%
Researcher 4 11%
Student > Doctoral Student 2 6%
Student > Master 2 6%
Professor 1 3%
Other 1 3%
Unknown 9 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 40%
Agricultural and Biological Sciences 4 11%
Neuroscience 3 9%
Immunology and Microbiology 2 6%
Chemistry 1 3%
Other 0 0%
Unknown 11 31%
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 24 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
#219,042
of 393,723 outputs
Outputs of similar age from Methods in molecular biology
#469
of 1,471 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 393,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,471 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 63% of its contemporaries.