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External memory BWT and LCP computation for sequence collections with applications

Overview of attention for article published in Algorithms for Molecular Biology, March 2019
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Mentioned by

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1 tweeter

Citations

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10 Dimensions

Readers on

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5 Mendeley
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Title
External memory BWT and LCP computation for sequence collections with applications
Published in
Algorithms for Molecular Biology, March 2019
DOI 10.1186/s13015-019-0140-0
Authors

Lavinia Egidi, Felipe A. Louza, Giovanni Manzini, Guilherme P. Telles

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Bachelor 1 20%
Student > Ph. D. Student 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Agricultural and Biological Sciences 1 20%
Medicine and Dentistry 1 20%

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 10 March 2019.
All research outputs
#12,792,835
of 14,473,834 outputs
Outputs from Algorithms for Molecular Biology
#180
of 215 outputs
Outputs of similar age
#225,470
of 264,225 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 1 outputs
Altmetric has tracked 14,473,834 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 215 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 264,225 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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