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Probabilistic Inference for Nucleosome Positioning with MNase-Based or Sonicated Short-Read Data

Overview of attention for article published in PLOS ONE, February 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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3 X users
facebook
1 Facebook page
q&a
1 Q&A thread

Citations

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21 Dimensions

Readers on

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51 Mendeley
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Title
Probabilistic Inference for Nucleosome Positioning with MNase-Based or Sonicated Short-Read Data
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0032095
Pubmed ID
Authors

Xuekui Zhang, Gordon Robertson, Sangsoon Woo, Brad G. Hoffman, Raphael Gottardo

Abstract

We describe a model-based method, PING, for predicting nucleosome positions in MNase-Seq and MNase- or sonicated-ChIP-Seq data. PING compares favorably to NPS and TemplateFilter in scalability, accuracy and robustness to low read density. To demonstrate that PING predictions from widely available sonicated data can have sufficient spatial resolution to be to be useful for biological inference, we use Illumina H3K4me1 ChIP-seq data to detect changes in nucleosome positioning around transcription factor binding sites due to tamoxifen stimulation, to discriminate functional and non-functional transcription factor binding sites more effectively than with enrichment profiles, and to confirm that the pioneer transcription factor Foxa2 associates with the accessible major groove of nucleosomal DNA.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 12%
France 2 4%
Spain 1 2%
Unknown 42 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 29%
Student > Ph. D. Student 13 25%
Student > Master 5 10%
Professor > Associate Professor 4 8%
Student > Postgraduate 3 6%
Other 8 16%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 63%
Biochemistry, Genetics and Molecular Biology 6 12%
Computer Science 4 8%
Medicine and Dentistry 2 4%
Mathematics 1 2%
Other 2 4%
Unknown 4 8%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 March 2012.
All research outputs
#6,245,473
of 22,663,150 outputs
Outputs from PLOS ONE
#74,614
of 193,502 outputs
Outputs of similar age
#41,223
of 155,482 outputs
Outputs of similar age from PLOS ONE
#1,084
of 3,552 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 193,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 60% 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 155,482 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 3,552 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.