↓ Skip to main content

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
Altmetric Badge
83

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 (85th percentile)

Citations

dimensions_citation
135 Dimensions

Readers on

mendeley
280 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 146 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 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 280 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 64 23%
Researcher 51 18%
Student > Bachelor 33 12%
Student > Master 26 9%
Professor 19 7%
Other 37 13%
Unknown 50 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 141 50%
Agricultural and Biological Sciences 40 14%
Physics and Astronomy 11 4%
Neuroscience 4 1%
Computer Science 4 1%
Other 24 9%
Unknown 56 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 83. 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
#392,164
of 21,448,133 outputs
Outputs from Molecular Cell
#253
of 6,912 outputs
Outputs of similar age
#10,134
of 283,231 outputs
Outputs of similar age from Molecular Cell
#15
of 106 outputs
Altmetric has tracked 21,448,133 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 6,912 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. 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 283,231 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 85% of its contemporaries.