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A memory-efficient algorithm for multiple sequence alignment with constraints

Overview of attention for article published in Bioinformatics, August 2004
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patent
1 patent

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mendeley
22 Mendeley
citeulike
1 CiteULike
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Article details
Title
A memory-efficient algorithm for multiple sequence alignment with constraints
Published in
Bioinformatics, August 2004
DOI 10.1093/bioinformatics/bth468
Pubmed ID
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 32%
Professor 5 23%
Professor > Associate Professor 3 14%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Other 3 14%
Readers by discipline
Readers by discipline Count As %
Computer Science 8 36%
Agricultural and Biological Sciences 5 23%
Business, Management and Accounting 2 9%
Medicine and Dentistry 2 9%
Chemical Engineering 1 5%
Other 1 5%
Unknown 3 14%
Attention Score in Context

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 29 July 2014.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Bioinformatics
#6,956
of 12,809 outputs
Outputs of similar age
#21,769
of 65,549 outputs
Outputs of similar age from Bioinformatics
#35
of 77 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,809 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 34th percentile – i.e., 34% 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 65,549 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.