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Mouse Heterochromatin Adopts Digital Compaction States without Showing Hallmarks of HP1-Driven Liquid-Liquid Phase Separation

Overview of attention for article published in Molecular Cell, February 2020
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77

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Citations

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223 Dimensions

Readers on

mendeley
345 Mendeley
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Title
Mouse Heterochromatin Adopts Digital Compaction States without Showing Hallmarks of HP1-Driven Liquid-Liquid Phase Separation
Published in
Molecular Cell, February 2020
DOI 10.1016/j.molcel.2020.02.005
Pubmed ID
Authors

Fabian Erdel, Anne Rademacher, Rifka Vlijm, Jana Tünnermann, Lukas Frank, Robin Weinmann, Elisabeth Schweigert, Klaus Yserentant, Johan Hummert, Caroline Bauer, Sabrina Schumacher, Ahmad Al Alwash, Christophe Normand, Dirk-Peter Herten, Johann Engelhardt, Karsten Rippe

X Demographics

X Demographics

The data shown below were collected from the profiles of 134 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 345 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 345 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 23%
Researcher 56 16%
Student > Master 31 9%
Student > Bachelor 31 9%
Professor 22 6%
Other 47 14%
Unknown 77 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 169 49%
Agricultural and Biological Sciences 41 12%
Physics and Astronomy 12 3%
Materials Science 5 1%
Neuroscience 5 1%
Other 29 8%
Unknown 84 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 22 June 2022.
All research outputs
#566,631
of 25,750,437 outputs
Outputs from Molecular Cell
#386
of 7,692 outputs
Outputs of similar age
#14,638
of 384,695 outputs
Outputs of similar age from Molecular Cell
#12
of 89 outputs
Altmetric has tracked 25,750,437 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,692 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.7. This one has done particularly well, scoring higher than 94% 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 384,695 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 96% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.