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Chromosome Architecture

Overview of attention for book
Attention for Chapter 9: Chromosome Architecture
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Chapter title
Chromosome Architecture
Chapter number 9
Book title
Chromosome Architecture
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3631-1_9
Pubmed ID
Book ISBNs
978-1-4939-3629-8, 978-1-4939-3631-1
Authors

Sewitz, Sven, Lipkow, Karen, Sven Sewitz, Karen Lipkow

Editors

Mark C. Leake

Abstract

The linear and three-dimensional arrangement and composition of chromatin in eukaryotic genomes underlies the mechanisms directing gene regulation. Understanding this organization requires the integration of many data types and experimental results. Here we describe the approach of integrating genome-wide protein-DNA binding data to determine chromatin states. To investigate spatial aspects of genome organization, we present a detailed description of how to run stochastic simulations of protein movements within a simulated nucleus in 3D. This systems level approach enables the development of novel questions aimed at understanding the basic mechanisms that regulate genome dynamics.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 57%
Researcher 1 14%
Lecturer > Senior Lecturer 1 14%
Student > Master 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 43%
Neuroscience 2 29%
Physics and Astronomy 1 14%
Agricultural and Biological Sciences 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 June 2016.
All research outputs
#17,807,987
of 22,877,793 outputs
Outputs from Methods in molecular biology
#7,243
of 13,131 outputs
Outputs of similar age
#267,788
of 393,697 outputs
Outputs of similar age from Methods in molecular biology
#752
of 1,471 outputs
Altmetric has tracked 22,877,793 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,131 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 393,697 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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 is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.