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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 19: Polycomb Group Proteins
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  • Good Attention Score compared to outputs of the same age and source (71st percentile)

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Chapter title
Polycomb Group Proteins
Chapter number 19
Book title
Polycomb Group Proteins
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-6380-5_19
Pubmed ID
Book ISBNs
978-1-4939-6378-2, 978-1-4939-6380-5
Authors

Cortesi, Alice, Bodega, Beatrice, Alice Cortesi, Beatrice Bodega

Editors

Chiara Lanzuolo, Beatrice Bodega

Abstract

3D organization of the genome, its structural and regulatory function of cell identity, is acquiring prominent features in epigenetics studies; more efforts have been done to develop techniques that allow studying nuclear structure. Chromosome conformation capture (3C) has been set up in 2002 from Dekker and from that moment great investments were made to develop genomics variants of 3C technology (4C, 5C, Hi-C) providing new tools to investigate the shape of the genome in a more systematic and unbiased manner. 3C method allows scientists to fix dynamic and variable 3D interactions in nuclear space, and consequently to study which sequences interact, how a gene is regulated by different and distant enhancer, or how a set of enhancer could regulate transcriptional units; to follow the conformation that mediates regulation change in development; and to evaluate if this fine epigenetic mechanism is impaired in disease condition.

X Demographics

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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Doctoral Student 1 11%
Student > Ph. D. Student 1 11%
Professor 1 11%
Student > Master 1 11%
Other 1 11%
Unknown 1 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 33%
Agricultural and Biological Sciences 2 22%
Environmental Science 1 11%
Medicine and Dentistry 1 11%
Neuroscience 1 11%
Other 0 0%
Unknown 1 11%
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
#13,990,008
of 22,889,074 outputs
Outputs from Methods in molecular biology
#3,944
of 13,132 outputs
Outputs of similar age
#199,717
of 393,723 outputs
Outputs of similar age from Methods in molecular biology
#386
of 1,471 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 68% 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 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 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 71% of its contemporaries.