↓ Skip to main content

Megabase-scale methylation phasing using nanopore long reads and NanoMethPhase

Overview of attention for article published in Genome Biology, February 2021
Altmetric Badge

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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
2 blogs
twitter
106 X users
patent
1 patent

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
91 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Megabase-scale methylation phasing using nanopore long reads and NanoMethPhase
Published in
Genome Biology, February 2021
DOI 10.1186/s13059-021-02283-5
Pubmed ID
Authors

Vahid Akbari, Jean-Michel Garant, Kieran O’Neill, Pawan Pandoh, Richard Moore, Marco A. Marra, Martin Hirst, Steven J. M. Jones

X Demographics

X Demographics

The data shown below were collected from the profiles of 106 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 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 24%
Researcher 21 23%
Student > Master 8 9%
Professor 3 3%
Student > Bachelor 3 3%
Other 10 11%
Unknown 24 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 29 32%
Agricultural and Biological Sciences 16 18%
Medicine and Dentistry 3 3%
Computer Science 3 3%
Immunology and Microbiology 2 2%
Other 7 8%
Unknown 31 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 72. 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 16 November 2023.
All research outputs
#596,629
of 25,396,120 outputs
Outputs from Genome Biology
#357
of 4,470 outputs
Outputs of similar age
#17,639
of 451,580 outputs
Outputs of similar age from Genome Biology
#9
of 75 outputs
Altmetric has tracked 25,396,120 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% 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 done particularly well, scoring higher than 92% 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 451,580 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 96% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.