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How to find simple and accurate rules for viral protease cleavage specificities

Overview of attention for article published in BMC Bioinformatics, May 2009
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Mentioned by

patent
1 patent

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
1 CiteULike
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Title
How to find simple and accurate rules for viral protease cleavage specificities
Published in
BMC Bioinformatics, May 2009
DOI 10.1186/1471-2105-10-149
Pubmed ID
Authors

Thorsteinn Rögnvaldsson, Terence A Etchells, Liwen You, Daniel Garwicz, Ian Jarman, Paulo JG Lisboa

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
United States 1 2%
Canada 1 2%
Brazil 1 2%
Unknown 41 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 29%
Researcher 10 22%
Student > Master 7 16%
Student > Doctoral Student 4 9%
Student > Bachelor 4 9%
Other 5 11%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 36%
Biochemistry, Genetics and Molecular Biology 6 13%
Computer Science 6 13%
Engineering 4 9%
Mathematics 2 4%
Other 7 16%
Unknown 4 9%
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 18 December 2014.
All research outputs
#8,025,879
of 24,127,528 outputs
Outputs from BMC Bioinformatics
#3,115
of 7,503 outputs
Outputs of similar age
#34,320
of 95,827 outputs
Outputs of similar age from BMC Bioinformatics
#14
of 35 outputs
Altmetric has tracked 24,127,528 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 7,503 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 95,827 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.