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Infinite Systems of Interacting Chains with Memory of Variable Length—A Stochastic Model for Biological Neural Nets

Overview of attention for article published in Journal of Statistical Physics, March 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

wikipedia
7 Wikipedia pages

Citations

dimensions_citation
99 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Infinite Systems of Interacting Chains with Memory of Variable Length—A Stochastic Model for Biological Neural Nets
Published in
Journal of Statistical Physics, March 2013
DOI 10.1007/s10955-013-0733-9
Authors

A. Galves, E. Löcherbach

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Cuba 1 2%
France 1 2%
Switzerland 1 2%
Brazil 1 2%
Unknown 41 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 20%
Professor > Associate Professor 7 16%
Researcher 6 13%
Professor 4 9%
Student > Ph. D. Student 3 7%
Other 5 11%
Unknown 11 24%
Readers by discipline Count As %
Mathematics 9 20%
Neuroscience 6 13%
Physics and Astronomy 4 9%
Computer Science 4 9%
Engineering 4 9%
Other 8 18%
Unknown 10 22%
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 11 July 2023.
All research outputs
#7,508,670
of 22,931,367 outputs
Outputs from Journal of Statistical Physics
#203
of 1,738 outputs
Outputs of similar age
#65,904
of 198,083 outputs
Outputs of similar age from Journal of Statistical Physics
#5
of 30 outputs
Altmetric has tracked 22,931,367 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 1,738 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 77% 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 198,083 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 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 73% of its contemporaries.