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Chromosome Architecture

Overview of attention for book
Attention for Chapter 17: Chromosome Architecture
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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
Chromosome Architecture
Chapter number 17
Book title
Chromosome Architecture
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3631-1_17
Pubmed ID
Book ISBNs
978-1-4939-3629-8, 978-1-4939-3631-1
Authors

Basu, Srinjan, Tan, Yi Lei, Taylor, Edward J R, Laue, Ernest D, Lee, Steven F, Srinjan Basu, Yi Lei Tan, Edward J. R. Taylor, Ernest D. Laue, Steven F. Lee, Taylor, Edward J. R., Laue, Ernest D., Lee, Steven F.

Editors

Mark C. Leake

Abstract

Single-molecule localisation microscopy (SMLM) allows the super-resolved imaging of proteins within mammalian nuclei at spatial resolutions comparable to that of a nucleosome itself (~20 nm). The technique is therefore well suited to the study of chromatin structure. Fixed-cell SMLM has already allowed temporal 'snapshots' of how proteins are arranged on chromatin within mammalian nuclei. In this chapter, we focus on how recent developments, for example in selective plane illumination and protein labelling, have led to a range of live-cell SMLM studies. We describe how to carry out single-particle tracking (SPT) of single proteins and, by analysing their diffusion parameters, how to determine whether proteins interact with chromatin, diffuse freely or do both. We can study the numbers of proteins that interact with chromatin and also determine their residence time on chromatin. We can determine whether these proteins form functional clusters within the nucleus as well as whether they form specific nuclear structures.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 35%
Student > Bachelor 5 29%
Student > Ph. D. Student 3 18%
Student > Master 1 6%
Professor 1 6%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 29%
Biochemistry, Genetics and Molecular Biology 4 24%
Physics and Astronomy 2 12%
Neuroscience 2 12%
Medicine and Dentistry 1 6%
Other 2 12%
Unknown 1 6%
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 11 June 2016.
All research outputs
#14,854,433
of 22,876,619 outputs
Outputs from Methods in molecular biology
#4,700
of 13,131 outputs
Outputs of similar age
#219,004
of 393,697 outputs
Outputs of similar age from Methods in molecular biology
#468
of 1,471 outputs
Altmetric has tracked 22,876,619 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 13,131 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 393,697 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.