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AlignMiner: a Web-based tool for detection of divergent regions in multiple sequence alignments of conserved sequences

Overview of attention for article published in Algorithms for Molecular Biology, June 2010
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Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
4 CiteULike
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Title
AlignMiner: a Web-based tool for detection of divergent regions in multiple sequence alignments of conserved sequences
Published in
Algorithms for Molecular Biology, June 2010
DOI 10.1186/1748-7188-5-24
Pubmed ID
Authors

Darío Guerrero, Rocío Bautista, David P Villalobos, Francisco R Cantón, M Gonzalo Claros

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 5%
Spain 1 2%
Japan 1 2%
Unknown 38 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 29%
Student > Ph. D. Student 9 21%
Student > Doctoral Student 4 10%
Professor > Associate Professor 4 10%
Professor 3 7%
Other 8 19%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 55%
Biochemistry, Genetics and Molecular Biology 8 19%
Computer Science 4 10%
Mathematics 1 2%
Environmental Science 1 2%
Other 2 5%
Unknown 3 7%
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 02 November 2011.
All research outputs
#7,656,056
of 23,308,124 outputs
Outputs from Algorithms for Molecular Biology
#75
of 264 outputs
Outputs of similar age
#34,650
of 97,296 outputs
Outputs of similar age from Algorithms for Molecular Biology
#2
of 2 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 264 research outputs from this source. They receive a mean Attention Score of 3.2. This one has gotten more attention than average, scoring higher than 67% 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 97,296 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.