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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 (67th percentile)

Mentioned by

twitter
61 tweeters

Citations

dimensions_citation
117 Dimensions

Readers on

mendeley
194 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 61 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 194 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 194 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 26%
Researcher 34 18%
Student > Master 19 10%
Student > Bachelor 15 8%
Student > Doctoral Student 7 4%
Other 23 12%
Unknown 45 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 71 37%
Agricultural and Biological Sciences 44 23%
Computer Science 14 7%
Mathematics 3 2%
Physics and Astronomy 3 2%
Other 9 5%
Unknown 50 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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
#1,015,132
of 21,480,505 outputs
Outputs from Genome Biology (Online Edition)
#882
of 3,976 outputs
Outputs of similar age
#30,942
of 423,486 outputs
Outputs of similar age from Genome Biology (Online Edition)
#74
of 227 outputs
Altmetric has tracked 21,480,505 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 3,976 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 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 423,486 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 67% of its contemporaries.