↓ Skip to main content

Analysis of interactions between the epigenome and structural mutability of the genome using Genboree workbench tools

Overview of attention for article published in BMC Bioinformatics, May 2014
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
38 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
Analysis of interactions between the epigenome and structural mutability of the genome using Genboree workbench tools
Published in
BMC Bioinformatics, May 2014
DOI 10.1186/1471-2105-15-s7-s2
Pubmed ID
Authors

Cristian Coarfa, Christina Stewart Pichot, Andrew Jackson, Arpit Tandon, Viren Amin, Sriram Raghuraman, Sameer Paithankar, Adrian V Lee, Sean E McGuire, Aleksandar Milosavljevic

Abstract

Interactions between the epigenome and structural genomic variation are potentially bi-directional. In one direction, structural variants may cause epigenomic changes in cis. In the other direction, specific local epigenomic states such as DNA hypomethylation associate with local genomic instability.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Brazil 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 21%
Other 6 16%
Researcher 6 16%
Student > Bachelor 4 11%
Student > Postgraduate 4 11%
Other 7 18%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 37%
Biochemistry, Genetics and Molecular Biology 13 34%
Computer Science 4 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 5 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 October 2014.
All research outputs
#18,379,655
of 22,765,347 outputs
Outputs from BMC Bioinformatics
#6,307
of 7,273 outputs
Outputs of similar age
#163,126
of 226,687 outputs
Outputs of similar age from BMC Bioinformatics
#117
of 153 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,273 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% 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 226,687 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.