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Virtual NEURON: a strategy for merged biochemical and electrophysiological modeling

Overview of attention for article published in Journal of Computational Neuroscience, February 2011
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Mentioned by

patent
1 patent

Citations

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32 Dimensions

Readers on

mendeley
63 Mendeley
Title
Virtual NEURON: a strategy for merged biochemical and electrophysiological modeling
Published in
Journal of Computational Neuroscience, February 2011
DOI 10.1007/s10827-011-0317-0
Pubmed ID
Authors

Sherry-Ann Brown, Ion I. Moraru, James C. Schaff, Leslie M. Loew

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
United Kingdom 3 5%
Germany 1 2%
Israel 1 2%
Japan 1 2%
Belarus 1 2%
Unknown 53 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 29%
Student > Ph. D. Student 16 25%
Student > Master 7 11%
Professor 4 6%
Student > Doctoral Student 3 5%
Other 5 8%
Unknown 10 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 40%
Neuroscience 6 10%
Computer Science 4 6%
Engineering 4 6%
Medicine and Dentistry 4 6%
Other 9 14%
Unknown 11 17%
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 31 October 2017.
All research outputs
#7,567,797
of 23,081,466 outputs
Outputs from Journal of Computational Neuroscience
#69
of 310 outputs
Outputs of similar age
#39,048
of 107,663 outputs
Outputs of similar age from Journal of Computational Neuroscience
#2
of 4 outputs
Altmetric has tracked 23,081,466 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 310 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 60% 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 107,663 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.