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Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models

Overview of attention for article published in Frontiers in Neuroinformatics, June 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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2 Dimensions

Readers on

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10 Mendeley
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Title
Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models
Published in
Frontiers in Neuroinformatics, June 2022
DOI 10.3389/fninf.2022.882552
Pubmed ID
Authors

Alexander Ladd, Kyung Geun Kim, Jan Balewski, Kristofer Bouchard, Roy Ben-Shalom

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 40%
Student > Doctoral Student 1 10%
Lecturer > Senior Lecturer 1 10%
Student > Ph. D. Student 1 10%
Student > Postgraduate 1 10%
Other 0 0%
Unknown 2 20%
Readers by discipline Count As %
Neuroscience 4 40%
Environmental Science 1 10%
Computer Science 1 10%
Engineering 1 10%
Unknown 3 30%
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 20 June 2022.
All research outputs
#13,689,083
of 22,711,242 outputs
Outputs from Frontiers in Neuroinformatics
#455
of 743 outputs
Outputs of similar age
#190,249
of 439,443 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#16
of 32 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 743 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one is in the 38th percentile – i.e., 38% 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 439,443 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 32 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 50% of its contemporaries.