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Genome-wide identification and characterisation of HOT regions in the human genome

Overview of attention for article published in BMC Genomics, September 2016
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  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Title
Genome-wide identification and characterisation of HOT regions in the human genome
Published in
BMC Genomics, September 2016
DOI 10.1186/s12864-016-3077-4
Pubmed ID
Authors

Hao Li, Feng Liu, Chao Ren, Xiaochen Bo, Wenjie Shu

Abstract

HOT (high-occupancy target) regions, which are bound by a surprisingly large number of transcription factors, are considered to be among the most intriguing findings of recent years. An improved understanding of the roles that HOT regions play in biology would be afforded by knowing the constellation of factors that constitute these domains and by identifying HOT regions across the spectrum of human cell types. We characterised and validated HOT regions in embryonic stem cells (ESCs) and produced a catalogue of HOT regions in a broad range of human cell types. We found that HOT regions are associated with genes that control and define the developmental processes of the respective cell and tissue types. We also showed evidence of the developmental persistence of HOT regions at primitive enhancers and demonstrate unique signatures of HOT regions that distinguish them from typical enhancers and super-enhancers. Finally, we performed a dynamic analysis to reveal the dynamical regulation of HOT regions upon H1 differentiation. Taken together, our results provide a resource for the functional exploration of HOT regions and extend our understanding of the key roles of HOT regions in development and differentiation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 2 6%
United Kingdom 1 3%
China 1 3%
Unknown 27 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 29%
Student > Ph. D. Student 4 13%
Student > Postgraduate 4 13%
Student > Master 3 10%
Student > Doctoral Student 2 6%
Other 6 19%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 35%
Biochemistry, Genetics and Molecular Biology 9 29%
Computer Science 3 10%
Linguistics 1 3%
Sports and Recreations 1 3%
Other 3 10%
Unknown 3 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 November 2017.
All research outputs
#5,740,964
of 22,888,307 outputs
Outputs from BMC Genomics
#2,381
of 10,669 outputs
Outputs of similar age
#86,557
of 321,166 outputs
Outputs of similar age from BMC Genomics
#64
of 318 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 10,669 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 77% 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 321,166 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 318 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.