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Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling

Overview of attention for article published in BMC Bioinformatics, April 2009
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
13 Mendeley
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Title
Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling
Published in
BMC Bioinformatics, April 2009
DOI 10.1186/1471-2105-10-s4-s4
Pubmed ID
Authors

Cornelia Caragea, Jivko Sinapov, Drena Dobbs, Vasant Honavar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 15%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Unspecified 2 15%
Student > Bachelor 2 15%
Other 1 8%
Student > Master 1 8%
Other 2 15%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 4 31%
Unspecified 2 15%
Agricultural and Biological Sciences 2 15%
Medicine and Dentistry 2 15%
Biochemistry, Genetics and Molecular Biology 1 8%
Other 1 8%
Unknown 1 8%
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 06 July 2016.
All research outputs
#7,485,894
of 22,880,230 outputs
Outputs from BMC Bioinformatics
#3,032
of 7,298 outputs
Outputs of similar age
#32,549
of 92,954 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 33 outputs
Altmetric has tracked 22,880,230 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 7,298 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 92,954 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.