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Accurate Prediction of the Statistics of Repetitions in Random Sequences: A Case Study in Archaea Genomes

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, June 2016
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Title
Accurate Prediction of the Statistics of Repetitions in Random Sequences: A Case Study in Archaea Genomes
Published in
Frontiers in Bioengineering and Biotechnology, June 2016
DOI 10.3389/fbioe.2016.00035
Pubmed ID
Authors

Mireille Régnier, Philippe Chassignet

Abstract

Repetitive patterns in genomic sequences have a great biological significance and also algorithmic implications. Analytic combinatorics allow to derive formula for the expected length of repetitions in a random sequence. Asymptotic results, which generalize previous works on a binary alphabet, are easily computable. Simulations on random sequences show their accuracy. As an application, the sample case of Archaea genomes illustrates how biological sequences may differ from random sequences.

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X Demographics

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Master 2 29%
Student > Doctoral Student 1 14%
Other 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 3 43%
Biochemistry, Genetics and Molecular Biology 1 14%
Agricultural and Biological Sciences 1 14%
Unknown 2 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 July 2016.
All research outputs
#17,807,987
of 22,876,619 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#2,901
of 6,626 outputs
Outputs of similar age
#241,461
of 340,472 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#18
of 34 outputs
Altmetric has tracked 22,876,619 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,626 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 48th percentile – i.e., 48% 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 340,472 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.