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Perspectives: using polymer modeling to understand the formation and function of nuclear compartments

Overview of attention for article published in Chromosome Research, January 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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9 X users

Citations

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69 Dimensions

Readers on

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70 Mendeley
Title
Perspectives: using polymer modeling to understand the formation and function of nuclear compartments
Published in
Chromosome Research, January 2017
DOI 10.1007/s10577-016-9548-2
Pubmed ID
Authors

N. Haddad, D. Jost, C. Vaillant

Abstract

Compartmentalization is a ubiquitous feature of cellular function. In the nucleus, early observations revealed a non-random spatial organization of the genome with a large-scale segregation between transcriptionally active-euchromatin-and silenced-heterochromatin-parts of the genome. Recent advances in genome-wide mapping and imaging techniques have strikingly improved the resolution at which nuclear genome folding can be analyzed and have revealed a multiscale spatial compartmentalization with increasing evidences that such compartment may indeed result from and participate to genome function. Understanding the underlying mechanisms of genome folding and in particular the link to gene regulation requires a cross-disciplinary approach that combines the new high-resolution techniques with computational modeling of chromatin and chromosomes. In this perspective article, we first present how the copolymer theoretical framework can account for the genome compartmentalization. We then suggest, in a second part, that compartments may act as a "nanoreactor," increasing the robustness of either activation or repression by enhancing the local concentration of regulators. We conclude with the need to develop a new framework, namely the "living chromatin" model that will allow to explicitly investigate the coupling between spatial compartmentalization and gene regulation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Lithuania 1 1%
United States 1 1%
Unknown 68 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 24%
Student > Master 11 16%
Researcher 10 14%
Professor 9 13%
Student > Doctoral Student 5 7%
Other 8 11%
Unknown 10 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 41%
Agricultural and Biological Sciences 13 19%
Physics and Astronomy 10 14%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Unspecified 1 1%
Other 4 6%
Unknown 12 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 April 2017.
All research outputs
#5,641,080
of 22,940,083 outputs
Outputs from Chromosome Research
#90
of 508 outputs
Outputs of similar age
#104,749
of 421,728 outputs
Outputs of similar age from Chromosome Research
#3
of 12 outputs
Altmetric has tracked 22,940,083 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 508 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 82% 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 421,728 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.