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An average-case sublinear forward algorithm for the haploid Li and Stephens model

Overview of attention for article published in Algorithms for Molecular Biology, April 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

twitter
7 tweeters

Readers on

mendeley
2 Mendeley
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Title
An average-case sublinear forward algorithm for the haploid Li and Stephens model
Published in
Algorithms for Molecular Biology, April 2019
DOI 10.1186/s13015-019-0144-9
Pubmed ID
Authors

Yohei M. Rosen, Benedict J. Paten

Twitter Demographics

The data shown below were collected from the profiles of 7 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Lecturer 1 50%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 50%
Computer Science 1 50%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 June 2019.
All research outputs
#4,207,821
of 13,968,403 outputs
Outputs from Algorithms for Molecular Biology
#60
of 211 outputs
Outputs of similar age
#103,976
of 263,281 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 1 outputs
Altmetric has tracked 13,968,403 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 211 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 66% 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 263,281 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 59% 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