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Automatic Fitting of Spiking Neuron Models to Electrophysiological Recordings

Overview of attention for article published in Frontiers in Neuroinformatics, March 2010
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160 Mendeley
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Title
Automatic Fitting of Spiking Neuron Models to Electrophysiological Recordings
Published in
Frontiers in Neuroinformatics, March 2010
DOI 10.3389/neuro.11.002.2010
Pubmed ID
Authors

Cyrille Rossant, Dan F. M. Goodman, Jonathan Platkiewicz, Romain Brette

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 160 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 4%
United Kingdom 5 3%
France 4 3%
Germany 4 3%
Japan 2 1%
Finland 1 <1%
New Zealand 1 <1%
Switzerland 1 <1%
China 1 <1%
Other 3 2%
Unknown 131 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 29%
Researcher 31 19%
Student > Master 23 14%
Student > Bachelor 10 6%
Student > Postgraduate 9 6%
Other 31 19%
Unknown 9 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 23%
Neuroscience 30 19%
Computer Science 26 16%
Engineering 22 14%
Physics and Astronomy 12 8%
Other 21 13%
Unknown 12 8%
Attention Score in Context

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 26 September 2017.
All research outputs
#17,286,645
of 25,374,917 outputs
Outputs from Frontiers in Neuroinformatics
#597
of 833 outputs
Outputs of similar age
#84,749
of 102,274 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#1
of 1 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 833 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 22nd percentile – i.e., 22% 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 102,274 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them