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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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76

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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232 Dimensions

Readers on

mendeley
348 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 348 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 348 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 23%
Researcher 57 16%
Student > Bachelor 32 9%
Student > Master 31 9%
Professor 23 7%
Other 46 13%
Unknown 78 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 172 49%
Agricultural and Biological Sciences 41 12%
Physics and Astronomy 12 3%
Neuroscience 5 1%
Materials Science 5 1%
Other 28 8%
Unknown 85 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 76. 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
#586,911
of 26,171,302 outputs
Outputs from Molecular Cell
#408
of 7,754 outputs
Outputs of similar age
#14,875
of 386,065 outputs
Outputs of similar age from Molecular Cell
#12
of 89 outputs
Altmetric has tracked 26,171,302 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 7,754 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.9. 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 386,065 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.