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Erratum to: General continuous-time Markov model of sequence evolution via insertions/deletions: are alignment probabilities factorable?

Overview of attention for article published in BMC Bioinformatics, November 2016
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user
peer_reviews
1 peer review site

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Erratum to: General continuous-time Markov model of sequence evolution via insertions/deletions: are alignment probabilities factorable?
Published in
BMC Bioinformatics, November 2016
DOI 10.1186/s12859-016-1282-4
Pubmed ID
Authors

Kiyoshi Ezawa

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Professor 1 13%
Student > Bachelor 1 13%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 25%
Computer Science 1 13%
Agricultural and Biological Sciences 1 13%
Unknown 4 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 25 April 2017.
All research outputs
#14,931,166
of 22,965,074 outputs
Outputs from BMC Bioinformatics
#5,063
of 7,306 outputs
Outputs of similar age
#188,874
of 313,276 outputs
Outputs of similar age from BMC Bioinformatics
#61
of 125 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,306 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 313,276 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.