↓ Skip to main content

HSA: integrating multi-track Hi-C data for genome-scale reconstruction of 3D chromatin structure

Overview of attention for article published in Genome Biology (Online Edition), March 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
53 Dimensions

Readers on

mendeley
88 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
HSA: integrating multi-track Hi-C data for genome-scale reconstruction of 3D chromatin structure
Published in
Genome Biology (Online Edition), March 2016
DOI 10.1186/s13059-016-0896-1
Pubmed ID
Authors

Chenchen Zou, Yuping Zhang, Zhengqing Ouyang

Abstract

Genome-wide 3C technologies (Hi-C) are being increasingly employed to study three-dimensional (3D) genome conformations. Existing computational approaches are unable to integrate accumulating data to facilitate studying 3D chromatin structure and function. We present HSA ( http://ouyanglab.jax.org/hsa/ ), a flexible tool that jointly analyzes multiple contact maps to infer 3D chromatin structure at the genome scale. HSA globally searches the latent structure underlying different cleavage footprints. Its robustness and accuracy outperform or rival existing tools on extensive simulations and orthogonal experiment validations. Applying HSA to recent in situ Hi-C data, we found the 3D chromatin structures are highly conserved across various human cell types.

Twitter Demographics

The data shown below were collected from the profiles of 11 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Lithuania 1 1%
Germany 1 1%
Norway 1 1%
Unknown 84 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 36%
Researcher 23 26%
Student > Master 10 11%
Student > Doctoral Student 5 6%
Professor 4 5%
Other 7 8%
Unknown 7 8%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 34%
Agricultural and Biological Sciences 26 30%
Computer Science 10 11%
Mathematics 3 3%
Physics and Astronomy 2 2%
Other 6 7%
Unknown 11 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 July 2016.
All research outputs
#2,368,071
of 11,333,178 outputs
Outputs from Genome Biology (Online Edition)
#1,570
of 2,621 outputs
Outputs of similar age
#70,153
of 292,598 outputs
Outputs of similar age from Genome Biology (Online Edition)
#55
of 72 outputs
Altmetric has tracked 11,333,178 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,621 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one is in the 39th percentile – i.e., 39% 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 292,598 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 75% of its contemporaries.
We're also able to compare this research output to 72 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.