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Specificity, propagation, and memory of pericentric heterochromatin

Overview of attention for article published in Molecular Systems Biology, August 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

2 news outlets
6 tweeters
1 Facebook page

Readers on

62 Mendeley
Specificity, propagation, and memory of pericentric heterochromatin
Published in
Molecular Systems Biology, August 2014
DOI 10.15252/msb.20145377
Pubmed ID

Katharina Müller‐Ott, Fabian Erdel, Anna Matveeva, Jan‐Philipp Mallm, Anne Rademacher, Matthias Hahn, Caroline Bauer, Qin Zhang, Sabine Kaltofen, Gunnar Schotta, Thomas Höfer, Karsten Rippe, Müller-Ott K, Erdel F, Matveeva A, Mallm JP, Rademacher A, Hahn M, Bauer C, Zhang Q, Kaltofen S, Schotta G, Höfer T, Rippe K


The cell establishes heritable patterns of active and silenced chromatin via interacting factors that set, remove, and read epigenetic marks. To understand how the underlying networks operate, we have dissected transcriptional silencing in pericentric heterochromatin (PCH) of mouse fibroblasts. We assembled a quantitative map for the abundance and interactions of 16 factors related to PCH in living cells and found that stably bound complexes of the histone methyltransferase SUV39H1/2 demarcate the PCH state. From the experimental data, we developed a predictive mathematical model that explains how chromatin-bound SUV39H1/2 complexes act as nucleation sites and propagate a spatially confined PCH domain with elevated histone H3 lysine 9 trimethylation levels via chromatin dynamics. This "nucleation and looping" mechanism is particularly robust toward transient perturbations and stably maintains the PCH state. These features make it an attractive model for establishing functional epigenetic domains throughout the genome based on the localized immobilization of chromatin-modifying enzymes.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 6%
Spain 1 2%
United Kingdom 1 2%
Denmark 1 2%
United States 1 2%
Iran, Islamic Republic of 1 2%
Korea, Republic of 1 2%
Netherlands 1 2%
Unknown 51 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 40%
Researcher 13 21%
Student > Bachelor 6 10%
Student > Master 5 8%
Professor 4 6%
Other 9 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 65%
Biochemistry, Genetics and Molecular Biology 13 21%
Unspecified 3 5%
Medicine and Dentistry 3 5%
Computer Science 1 2%
Other 2 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 02 June 2016.
All research outputs
of 7,847,043 outputs
Outputs from Molecular Systems Biology
of 652 outputs
Outputs of similar age
of 183,514 outputs
Outputs of similar age from Molecular Systems Biology
of 7 outputs
Altmetric has tracked 7,847,043 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 652 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has done well, scoring higher than 86% 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 183,514 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.