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The Self-Tuning Neuron: Synaptic Scaling of Excitatory Synapses

Overview of attention for article published in Cell, October 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

blogs
2 blogs
patent
1 patent
wikipedia
2 Wikipedia pages
reddit
3 Redditors
q&a
1 Q&A thread

Readers on

mendeley
1737 Mendeley
citeulike
2 CiteULike
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Article details
Title
The Self-Tuning Neuron: Synaptic Scaling of Excitatory Synapses
Published in
Cell, October 2008
DOI 10.1016/j.cell.2008.10.008
Pubmed ID
Authors
Abstract

Homeostatic synaptic scaling is a form of synaptic plasticity that adjusts the strength of all of a neuron's excitatory synapses up or down to stabilize firing. Current evidence suggests that neurons detect changes in their own firing rates through a set of calcium-dependent sensors that then regulate receptor trafficking to increase or decrease the accumulation of glutamate receptors at synaptic sites. Additional mechanisms may allow local or network-wide changes in activity to be sensed through parallel pathways, generating a nested set of homeostatic mechanisms that operate over different temporal and spatial scales.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,737 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 37 2%
United Kingdom 19 1%
Germany 15 <1%
Canada 8 <1%
France 7 <1%
Portugal 5 <1%
Netherlands 5 <1%
Japan 4 <1%
Chile 3 <1%
Other 16 <1%
Unknown 1618 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 461 27%
Researcher 288 17%
Student > Master 198 11%
Student > Bachelor 146 8%
Student > Doctoral Student 82 5%
Other 239 14%
Unknown 323 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 520 30%
Neuroscience 465 27%
Medicine and Dentistry 90 5%
Biochemistry, Genetics and Molecular Biology 78 4%
Computer Science 55 3%
Other 181 10%
Unknown 348 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 May 2026.
All research outputs
#2,315,181
of 32,807,097 outputs
Outputs from Cell
#6,568
of 19,172 outputs
Outputs of similar age
#6,335
of 135,274 outputs
Outputs of similar age from Cell
#22
of 103 outputs
Altmetric has tracked 32,807,097 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,172 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 62.4. This one has gotten more attention than average, scoring higher than 65% 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 135,274 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.