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Automatically Selecting a Suitable Integration Scheme for Systems of Differential Equations in Neuron Models

Overview of attention for article published in Frontiers in Neuroinformatics, October 2018
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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8 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Automatically Selecting a Suitable Integration Scheme for Systems of Differential Equations in Neuron Models
Published in
Frontiers in Neuroinformatics, October 2018
DOI 10.3389/fninf.2018.00050
Pubmed ID
Authors

Inga Blundell, Dimitri Plotnikov, Jochen M. Eppler, Abigail Morrison

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 38%
Researcher 5 31%
Professor 1 6%
Lecturer 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 1 6%
Readers by discipline Count As %
Computer Science 7 44%
Neuroscience 3 19%
Engineering 2 13%
Physics and Astronomy 2 13%
Environmental Science 1 6%
Other 0 0%
Unknown 1 6%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 October 2018.
All research outputs
#15,021,759
of 23,108,064 outputs
Outputs from Frontiers in Neuroinformatics
#521
of 758 outputs
Outputs of similar age
#205,292
of 346,597 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#21
of 27 outputs
Altmetric has tracked 23,108,064 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 758 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 27th percentile – i.e., 27% 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 346,597 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% 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 is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.