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Comparison of computational methods for the identification of topologically associating domains

Overview of attention for article published in Genome Biology (Online Edition), December 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
62 tweeters

Citations

dimensions_citation
85 Dimensions

Readers on

mendeley
172 Mendeley
citeulike
1 CiteULike
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Title
Comparison of computational methods for the identification of topologically associating domains
Published in
Genome Biology (Online Edition), December 2018
DOI 10.1186/s13059-018-1596-9
Pubmed ID
Authors

Marie Zufferey, Daniele Tavernari, Elisa Oricchio, Giovanni Ciriello

Twitter Demographics

The data shown below were collected from the profiles of 62 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 172 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 27%
Researcher 30 17%
Student > Master 17 10%
Student > Bachelor 15 9%
Student > Doctoral Student 7 4%
Other 20 12%
Unknown 36 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 67 39%
Agricultural and Biological Sciences 42 24%
Computer Science 13 8%
Mathematics 2 1%
Medicine and Dentistry 2 1%
Other 6 3%
Unknown 40 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 08 March 2019.
All research outputs
#825,439
of 18,321,436 outputs
Outputs from Genome Biology (Online Edition)
#736
of 3,716 outputs
Outputs of similar age
#28,347
of 401,469 outputs
Outputs of similar age from Genome Biology (Online Edition)
#67
of 227 outputs
Altmetric has tracked 18,321,436 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,716 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done well, scoring higher than 80% 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 401,469 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 227 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 70% of its contemporaries.