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STEPS: efficient simulation of stochastic reaction–diffusion models in realistic morphologies

Overview of attention for article published in BMC Systems Biology, May 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
151 Dimensions

Readers on

mendeley
135 Mendeley
citeulike
1 CiteULike
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Title
STEPS: efficient simulation of stochastic reaction–diffusion models in realistic morphologies
Published in
BMC Systems Biology, May 2012
DOI 10.1186/1752-0509-6-36
Pubmed ID
Authors

Iain Hepburn, Weiliang Chen, Stefan Wils, Erik De Schutter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 3%
United States 2 1%
Japan 2 1%
France 1 <1%
Norway 1 <1%
Unknown 125 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 33%
Student > Ph. D. Student 28 21%
Student > Master 12 9%
Student > Bachelor 9 7%
Other 8 6%
Other 19 14%
Unknown 15 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 28%
Engineering 20 15%
Computer Science 17 13%
Physics and Astronomy 8 6%
Neuroscience 7 5%
Other 26 19%
Unknown 19 14%
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 2022.
All research outputs
#7,547,176
of 23,025,074 outputs
Outputs from BMC Systems Biology
#314
of 1,144 outputs
Outputs of similar age
#54,641
of 164,372 outputs
Outputs of similar age from BMC Systems Biology
#10
of 27 outputs
Altmetric has tracked 23,025,074 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 1,144 research outputs from this source. They receive a mean Attention Score of 3.6. This one has gotten more attention than average, scoring higher than 64% 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 164,372 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.