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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, April 2020
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84

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 (87th percentile)

Citations

dimensions_citation
111 Dimensions

Readers on

mendeley
264 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, April 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

Twitter Demographics

The data shown below were collected from the profiles of 147 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 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 264 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 59 22%
Researcher 50 19%
Student > Bachelor 32 12%
Student > Master 26 10%
Professor 18 7%
Other 34 13%
Unknown 45 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 135 51%
Agricultural and Biological Sciences 37 14%
Physics and Astronomy 11 4%
Computer Science 4 2%
Chemical Engineering 4 2%
Other 22 8%
Unknown 51 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 84. 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 16 August 2021.
All research outputs
#353,014
of 20,083,595 outputs
Outputs from Molecular Cell
#223
of 6,648 outputs
Outputs of similar age
#9,686
of 278,041 outputs
Outputs of similar age from Molecular Cell
#14
of 106 outputs
Altmetric has tracked 20,083,595 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,648 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has done particularly well, scoring higher than 96% 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 278,041 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 106 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.