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Multiple Sequence Alignment

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Attention for Chapter: Multiple Sequence Alignment for Large Heterogeneous Datasets Using SATé, PASTA, and UPP
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Mentioned by

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1 X user

Citations

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17 Dimensions

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7 Mendeley
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Chapter title
Multiple Sequence Alignment for Large Heterogeneous Datasets Using SATé, PASTA, and UPP
Book title
Multiple Sequence Alignment
Published in
Methods in molecular biology, December 2020
DOI 10.1007/978-1-0716-1036-7_7
Pubmed ID
Book ISBNs
978-1-07-161035-0, 978-1-07-161036-7
Authors

Tandy Warnow, Siavash Mirarab, Warnow, Tandy, Mirarab, Siavash

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 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 %
Researcher 3 43%
Student > Ph. D. Student 1 14%
Other 1 14%
Unknown 2 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 29%
Agricultural and Biological Sciences 2 29%
Computer Science 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 12 December 2020.
All research outputs
#18,345,702
of 23,577,761 outputs
Outputs from Methods in molecular biology
#7,517
of 13,423 outputs
Outputs of similar age
#361,080
of 510,230 outputs
Outputs of similar age from Methods in molecular biology
#165
of 286 outputs
Altmetric has tracked 23,577,761 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 13,423 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 38th percentile – i.e., 38% 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 510,230 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 286 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.