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Insights about genome function from spatial organization of the genome

Overview of attention for article published in Human Genomics, February 2018
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3 X users

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Title
Insights about genome function from spatial organization of the genome
Published in
Human Genomics, February 2018
DOI 10.1186/s40246-018-0140-z
Pubmed ID
Authors

Shuvra Shekhar Roy, Ananda Kishore Mukherjee, Shantanu Chowdhury

Abstract

Over the last 15 years, development of chromosome conformation capture (3C) and its subsequent high-throughput variants in conjunction with the fast development of sequencing technology has allowed investigators to generate large volumes of data giving insights into the spatial three-dimensional (3D) architecture of the genome. This huge data has been analyzed and validated using various statistical, mathematical, genomics, and biophysical tools in order to examine the chromosomal interaction patterns, understand the organization of the chromosome, and find out functional implications of the interactions. This review summarizes the data generated by several large-scale high-throughput chromosome conformation capture studies and the functional implications obtained from the data analyses. We also discuss emerging results on factors (both CCCTC binding factor (CTCF) related and CTCF independent) that could contribute to looping interactions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 21%
Researcher 11 16%
Student > Master 10 14%
Professor 8 11%
Student > Doctoral Student 5 7%
Other 13 19%
Unknown 8 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 36%
Agricultural and Biological Sciences 20 29%
Physics and Astronomy 3 4%
Computer Science 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Other 7 10%
Unknown 10 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 February 2018.
All research outputs
#16,725,651
of 25,382,440 outputs
Outputs from Human Genomics
#370
of 564 outputs
Outputs of similar age
#211,956
of 344,345 outputs
Outputs of similar age from Human Genomics
#13
of 16 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 564 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 31st percentile – i.e., 31% 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 344,345 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.