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Physical separation of haplotypes in dikaryons allows benchmarking of phasing accuracy in Nanopore and HiFi assemblies with Hi-C data

Overview of attention for article published in Genome Biology, March 2022
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

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67 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
36 Mendeley
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Title
Physical separation of haplotypes in dikaryons allows benchmarking of phasing accuracy in Nanopore and HiFi assemblies with Hi-C data
Published in
Genome Biology, March 2022
DOI 10.1186/s13059-022-02658-2
Pubmed ID
Authors

Hongyu Duan, Ashley W. Jones, Tim Hewitt, Amy Mackenzie, Yiheng Hu, Anna Sharp, David Lewis, Rohit Mago, Narayana M. Upadhyaya, John P. Rathjen, Eric A. Stone, Benjamin Schwessinger, Melania Figueroa, Peter N. Dodds, Sambasivam Periyannan, Jana Sperschneider

X Demographics

X Demographics

The data shown below were collected from the profiles of 67 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 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 %
Researcher 6 17%
Student > Ph. D. Student 6 17%
Student > Master 5 14%
Other 2 6%
Unspecified 1 3%
Other 1 3%
Unknown 15 42%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 22%
Biochemistry, Genetics and Molecular Biology 5 14%
Psychology 2 6%
Environmental Science 1 3%
Unspecified 1 3%
Other 2 6%
Unknown 17 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 23 August 2023.
All research outputs
#1,082,293
of 25,463,724 outputs
Outputs from Genome Biology
#780
of 4,475 outputs
Outputs of similar age
#26,628
of 446,184 outputs
Outputs of similar age from Genome Biology
#21
of 63 outputs
Altmetric has tracked 25,463,724 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 4,475 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 82% 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 446,184 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 94% of its contemporaries.
We're also able to compare this research output to 63 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 68% of its contemporaries.