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Multiscale Hy3S: Hybrid stochastic simulation for supercomputers

Overview of attention for article published in BMC Bioinformatics, February 2006
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Mentioned by

twitter
1 tweeter

Citations

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77 Dimensions

Readers on

mendeley
86 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
Multiscale Hy3S: Hybrid stochastic simulation for supercomputers
Published in
BMC Bioinformatics, February 2006
DOI 10.1186/1471-2105-7-93
Pubmed ID
Authors

Howard Salis, Vassilios Sotiropoulos, Yiannis N Kaznessis

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 5%
United Kingdom 4 5%
Italy 2 2%
France 2 2%
Latvia 1 1%
Switzerland 1 1%
South Africa 1 1%
Germany 1 1%
Portugal 1 1%
Other 0 0%
Unknown 69 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 29%
Student > Ph. D. Student 21 24%
Professor > Associate Professor 9 10%
Student > Master 7 8%
Other 7 8%
Other 14 16%
Unknown 3 3%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 26%
Engineering 12 14%
Computer Science 10 12%
Mathematics 7 8%
Biochemistry, Genetics and Molecular Biology 6 7%
Other 20 23%
Unknown 9 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 13 August 2020.
All research outputs
#16,509,221
of 18,659,856 outputs
Outputs from BMC Bioinformatics
#5,992
of 6,409 outputs
Outputs of similar age
#258,704
of 306,275 outputs
Outputs of similar age from BMC Bioinformatics
#50
of 53 outputs
Altmetric has tracked 18,659,856 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,409 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 1st percentile – i.e., 1% 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 306,275 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.