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Improved hit criteria for DNA local alignment

Overview of attention for article published in BMC Bioinformatics, October 2004
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
51 Dimensions

Readers on

mendeley
32 Mendeley
citeulike
7 CiteULike
connotea
1 Connotea
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Title
Improved hit criteria for DNA local alignment
Published in
BMC Bioinformatics, October 2004
DOI 10.1186/1471-2105-5-149
Pubmed ID
Authors

Laurent Noé, Gregory Kucherov

Abstract

The hit criterion is a key component of heuristic local alignment algorithms. It specifies a class of patterns assumed to witness a potential similarity, and this choice is decisive for the selectivity and sensitivity of the whole method.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 9%
Switzerland 2 6%
United States 1 3%
Unknown 26 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 38%
Student > Ph. D. Student 8 25%
Professor > Associate Professor 3 9%
Student > Master 3 9%
Student > Bachelor 2 6%
Other 3 9%
Unknown 1 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 59%
Computer Science 6 19%
Biochemistry, Genetics and Molecular Biology 3 9%
Nursing and Health Professions 1 3%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 1 3%
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 09 June 2008.
All research outputs
#8,475,076
of 25,287,709 outputs
Outputs from BMC Bioinformatics
#3,213
of 7,672 outputs
Outputs of similar age
#24,039
of 74,864 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,287,709 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 7,672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 74,864 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% 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