↓ Skip to main content

Haplotype-aware diplotyping from noisy long reads

Overview of attention for article published in Genome Biology (Online Edition), June 2019
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 (93rd percentile)

Mentioned by

blogs
1 blog
twitter
48 tweeters

Readers on

mendeley
68 Mendeley
Title
Haplotype-aware diplotyping from noisy long reads
Published in
Genome Biology (Online Edition), June 2019
DOI 10.1186/s13059-019-1709-0
Pubmed ID
Authors

Jana Ebler, Marina Haukness, Trevor Pesout, Tobias Marschall, Benedict Paten

Twitter Demographics

The data shown below were collected from the profiles of 48 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 25%
Researcher 17 25%
Student > Ph. D. Student 16 24%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Other 9 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 35%
Agricultural and Biological Sciences 16 24%
Computer Science 15 22%
Unspecified 6 9%
Medicine and Dentistry 3 4%
Other 4 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 18 July 2019.
All research outputs
#510,608
of 13,635,031 outputs
Outputs from Genome Biology (Online Edition)
#479
of 3,035 outputs
Outputs of similar age
#17,449
of 251,164 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 13,635,031 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one has done well, scoring higher than 84% 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 251,164 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 93% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them