↓ Skip to main content

Distance-based assessment of the localization of functional annotations in 3D genome reconstructions

Overview of attention for article published in BMC Genomics, November 2014
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
14 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
Distance-based assessment of the localization of functional annotations in 3D genome reconstructions
Published in
BMC Genomics, November 2014
DOI 10.1186/1471-2164-15-992
Pubmed ID
Authors

Daniel Capurso, Mark R Segal

Abstract

Recent studies used the contact data or three-dimensional (3D) genome reconstructions from Hi-C (chromosome conformation capture with next-generation sequencing) to assess the co-localization of functional genomic annotations in the nucleus. These analyses dichotomized data point pairs belonging to a functional annotation as "close" or "far" based on some threshold and then tested for enrichment of "close" pairs. We propose an alternative approach that avoids dichotomization of the data and instead directly estimates the significance of distances within the 3D reconstruction.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 %
Russia 2 5%
United States 1 3%
United Kingdom 1 3%
Unknown 34 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Researcher 9 24%
Student > Bachelor 4 11%
Student > Master 4 11%
Other 2 5%
Other 7 18%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 53%
Medicine and Dentistry 4 11%
Computer Science 3 8%
Biochemistry, Genetics and Molecular Biology 2 5%
Mathematics 1 3%
Other 4 11%
Unknown 4 11%
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 20 November 2014.
All research outputs
#22,756,649
of 25,371,288 outputs
Outputs from BMC Genomics
#9,840
of 11,244 outputs
Outputs of similar age
#315,972
of 369,872 outputs
Outputs of similar age from BMC Genomics
#325
of 362 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 369,872 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 362 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.