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Analysis methods for studying the 3D architecture of the genome

Overview of attention for article published in Genome Biology, September 2015
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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 (92nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

blogs
1 blog
twitter
28 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
154 Dimensions

Readers on

mendeley
516 Mendeley
citeulike
7 CiteULike
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Title
Analysis methods for studying the 3D architecture of the genome
Published in
Genome Biology, September 2015
DOI 10.1186/s13059-015-0745-7
Pubmed ID
Authors

Ferhat Ay, William S. Noble

Abstract

The rapidly increasing quantity of genome-wide chromosome conformation capture data presents great opportunities and challenges in the computational modeling and interpretation of the three-dimensional genome. In particular, with recent trends towards higher-resolution high-throughput chromosome conformation capture (Hi-C) data, the diversity and complexity of biological hypotheses that can be tested necessitates rigorous computational and statistical methods as well as scalable pipelines to interpret these datasets. Here we review computational tools to interpret Hi-C data, including pipelines for mapping, filtering, and normalization, and methods for confidence estimation, domain calling, visualization, and three-dimensional modeling.

X Demographics

X Demographics

The data shown below were collected from the profiles of 28 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 516 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
France 3 <1%
Germany 3 <1%
Canada 3 <1%
Japan 3 <1%
Denmark 3 <1%
United Kingdom 2 <1%
Sweden 2 <1%
Spain 2 <1%
Other 11 2%
Unknown 480 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 144 28%
Researcher 115 22%
Student > Master 55 11%
Student > Bachelor 33 6%
Student > Doctoral Student 26 5%
Other 69 13%
Unknown 74 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 170 33%
Biochemistry, Genetics and Molecular Biology 167 32%
Computer Science 46 9%
Mathematics 13 3%
Medicine and Dentistry 10 2%
Other 31 6%
Unknown 79 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 03 May 2020.
All research outputs
#1,517,601
of 25,371,288 outputs
Outputs from Genome Biology
#1,224
of 4,467 outputs
Outputs of similar age
#19,992
of 277,043 outputs
Outputs of similar age from Genome Biology
#32
of 82 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 72% 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 277,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 82 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 60% of its contemporaries.