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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 (Online Edition), 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 (87th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
11 tweeters

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
36 Mendeley
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Title
OnTAD: hierarchical domain structure reveals the divergence of activity among TADs and boundaries
Published in
Genome Biology (Online Edition), 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

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Researcher 7 19%
Student > Doctoral Student 4 11%
Student > Bachelor 3 8%
Professor 2 6%
Other 4 11%
Unknown 7 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 47%
Agricultural and Biological Sciences 4 11%
Neuroscience 2 6%
Computer Science 2 6%
Medicine and Dentistry 2 6%
Other 1 3%
Unknown 8 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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
#1,321,244
of 16,497,003 outputs
Outputs from Genome Biology (Online Edition)
#1,307
of 3,474 outputs
Outputs of similar age
#46,446
of 382,396 outputs
Outputs of similar age from Genome Biology (Online Edition)
#181
of 290 outputs
Altmetric has tracked 16,497,003 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,474 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.2. This one has gotten more attention than average, scoring higher than 62% 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 382,396 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 87% of its contemporaries.
We're also able to compare this research output to 290 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.