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Precise genome-wide mapping of single nucleosomes and linkers in vivo

Overview of attention for article published in Genome Biology, February 2018
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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 (80th percentile)

Mentioned by

blogs
1 blog
twitter
96 X users
patent
1 patent

Citations

dimensions_citation
132 Dimensions

Readers on

mendeley
177 Mendeley
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Title
Precise genome-wide mapping of single nucleosomes and linkers in vivo
Published in
Genome Biology, February 2018
DOI 10.1186/s13059-018-1398-0
Pubmed ID
Authors

Răzvan V. Chereji, Srinivas Ramachandran, Terri D. Bryson, Steven Henikoff

Abstract

We developed a chemical cleavage method that releases single nucleosome dyad-containing fragments, allowing us to precisely map both single nucleosomes and linkers with high accuracy genome-wide in yeast. Our single nucleosome positioning data reveal that nucleosomes occupy preferred positions that differ by integral multiples of the DNA helical repeat. By comparing nucleosome dyad positioning maps to existing genomic and transcriptomic data, we evaluated the contributions of sequence, transcription, and histones H1 and H2A.Z in defining the chromatin landscape. We present a biophysical model that neglects DNA sequence and shows that steric occlusion suffices to explain the salient features of nucleosome positioning.

X Demographics

X Demographics

The data shown below were collected from the profiles of 96 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 177 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 177 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 25%
Researcher 34 19%
Student > Master 19 11%
Student > Bachelor 14 8%
Student > Doctoral Student 13 7%
Other 21 12%
Unknown 32 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 83 47%
Agricultural and Biological Sciences 35 20%
Chemistry 5 3%
Engineering 5 3%
Physics and Astronomy 3 2%
Other 15 8%
Unknown 31 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 62. 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 18 November 2021.
All research outputs
#697,447
of 25,750,437 outputs
Outputs from Genome Biology
#439
of 4,510 outputs
Outputs of similar age
#16,686
of 454,013 outputs
Outputs of similar age from Genome Biology
#9
of 46 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 4,510 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 90% 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 454,013 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 46 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.