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A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory system

Overview of attention for article published in Frontiers in Neural Circuits, January 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Readers on

mendeley
88 Mendeley
citeulike
1 CiteULike
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Title
A spiking neural network model of self-organized pattern recognition in the early mammalian olfactory system
Published in
Frontiers in Neural Circuits, January 2014
DOI 10.3389/fncir.2014.00005
Pubmed ID
Authors

Bernhard A. Kaplan, Anders Lansner

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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Germany 2 2%
Sweden 1 1%
Portugal 1 1%
Unknown 82 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 25%
Student > Ph. D. Student 16 18%
Researcher 13 15%
Professor 7 8%
Student > Bachelor 3 3%
Other 12 14%
Unknown 15 17%
Readers by discipline Count As %
Neuroscience 19 22%
Agricultural and Biological Sciences 18 20%
Computer Science 11 13%
Psychology 7 8%
Engineering 7 8%
Other 12 14%
Unknown 14 16%
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 10 April 2024.
All research outputs
#15,715,863
of 25,918,104 outputs
Outputs from Frontiers in Neural Circuits
#626
of 1,305 outputs
Outputs of similar age
#183,789
of 324,335 outputs
Outputs of similar age from Frontiers in Neural Circuits
#7
of 12 outputs
Altmetric has tracked 25,918,104 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 1,305 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 49th percentile – i.e., 49% 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 324,335 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.