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Super-resolution visualization and modeling of human chromosomal regions reveals cohesin-dependent loop structures

Overview of attention for article published in Genome Biology, May 2021
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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 (82nd percentile)

Mentioned by

twitter
18 X users

Readers on

mendeley
47 Mendeley
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Title
Super-resolution visualization and modeling of human chromosomal regions reveals cohesin-dependent loop structures
Published in
Genome Biology, May 2021
DOI 10.1186/s13059-021-02343-w
Pubmed ID
Authors

Xian Hao, Jyotsana J. Parmar, Benoît Lelandais, Andrey Aristov, Wei Ouyang, Christian Weber, Christophe Zimmer

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 38%
Researcher 9 19%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Professor 1 2%
Other 2 4%
Unknown 13 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 43%
Agricultural and Biological Sciences 4 9%
Materials Science 2 4%
Environmental Science 1 2%
Physics and Astronomy 1 2%
Other 3 6%
Unknown 16 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 07 June 2021.
All research outputs
#3,251,263
of 25,387,668 outputs
Outputs from Genome Biology
#2,350
of 4,470 outputs
Outputs of similar age
#79,742
of 453,877 outputs
Outputs of similar age from Genome Biology
#74
of 97 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 453,877 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.