↓ Skip to main content

HiCPlotter integrates genomic data with interaction matrices

Overview of attention for article published in Genome Biology, September 2015
Altmetric Badge

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 (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
15 X users
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
167 Dimensions

Readers on

mendeley
136 Mendeley
citeulike
3 CiteULike
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
HiCPlotter integrates genomic data with interaction matrices
Published in
Genome Biology, September 2015
DOI 10.1186/s13059-015-0767-1
Pubmed ID
Authors

Kadir Caner Akdemir, Lynda Chin

Abstract

Metazoan genomic material is folded into stable non-randomly arranged chromosomal structures that are tightly associated with transcriptional regulation and DNA replication. Various factors including regulators of pluripotency, long non-coding RNAs, or the presence of architectural proteins have been implicated in regulation and assembly of the chromatin architecture. Therefore, comprehensive visualization of this multi-faceted structure is important to unravel the connections between nuclear architecture and transcriptional regulation. Here, we present an easy-to-use open-source visualization tool, HiCPlotter, to facilitate juxtaposition of Hi-C matrices with diverse genomic assay outputs, as well as to compare interaction matrices between various conditions. https://github.com/kcakdemir/HiCPlotter.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 2%
Germany 1 <1%
Portugal 1 <1%
India 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
Russia 1 <1%
Spain 1 <1%
Unknown 126 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 39 29%
Student > Ph. D. Student 35 26%
Student > Master 13 10%
Student > Doctoral Student 10 7%
Student > Bachelor 6 4%
Other 14 10%
Unknown 19 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 38%
Biochemistry, Genetics and Molecular Biology 49 36%
Medicine and Dentistry 6 4%
Computer Science 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 <1%
Other 2 1%
Unknown 21 15%
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 22 October 2015.
All research outputs
#3,399,258
of 25,402,528 outputs
Outputs from Genome Biology
#2,417
of 4,470 outputs
Outputs of similar age
#44,043
of 285,706 outputs
Outputs of similar age from Genome Biology
#50
of 85 outputs
Altmetric has tracked 25,402,528 research outputs across all sources so far. Compared to these this one has done well and is in the 86th 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 45th percentile – i.e., 45% 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 285,706 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 84% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.