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OnTAD: hierarchical domain structure reveals the divergence of activity among TADs and boundaries

Overview of attention for article published in Genome Biology, December 2019
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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 (88th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
9 X users

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
80 Mendeley
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Title
OnTAD: hierarchical domain structure reveals the divergence of activity among TADs and boundaries
Published in
Genome Biology, December 2019
DOI 10.1186/s13059-019-1893-y
Pubmed ID
Authors

Lin An, Tao Yang, Jiahao Yang, Johannes Nuebler, Guanjue Xiang, Ross C. Hardison, Qunhua Li, Yu Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 80 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 26%
Researcher 11 14%
Student > Bachelor 8 10%
Student > Doctoral Student 7 9%
Professor 3 4%
Other 8 10%
Unknown 22 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 35 44%
Agricultural and Biological Sciences 12 15%
Neuroscience 2 3%
Computer Science 2 3%
Medicine and Dentistry 2 3%
Other 2 3%
Unknown 25 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 24 December 2019.
All research outputs
#2,384,328
of 25,387,668 outputs
Outputs from Genome Biology
#1,940
of 4,470 outputs
Outputs of similar age
#55,916
of 474,658 outputs
Outputs of similar age from Genome Biology
#61
of 90 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 56% 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 474,658 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.