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Dendritic trafficking faces physiologically critical speed-precision tradeoffs

Overview of attention for article published in eLife, December 2016
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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 (91st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
28 X users
peer_reviews
1 peer review site
facebook
2 Facebook pages
f1000
1 research highlight platform
bluesky
1 Bluesky user

Readers on

mendeley
87 Mendeley
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Article details
Title
Dendritic trafficking faces physiologically critical speed-precision tradeoffs
Published in
eLife, December 2016
DOI 10.7554/elife.20556
Pubmed ID
Authors
Abstract

Nervous system function requires intracellular transport of channels, receptors, mRNAs, and other cargo throughout complex neuronal morphologies. Local signals such as synaptic input can regulate cargo trafficking, motivating the leading conceptual model of neuron-wide transport, sometimes called the 'sushi-belt model' (Doyle and Kiebler, 2011). Current theories and experiments are based on this model, yet its predictions are not rigorously understood. We formalized the sushi belt model mathematically, and show that it can achieve arbitrarily complex spatial distributions of cargo in reconstructed morphologies. However, the model also predicts an unavoidable, morphology dependent tradeoff between speed, precision and metabolic efficiency of cargo transport. With experimental estimates of trafficking kinetics, the model predicts delays of many hours or days for modestly accurate and efficient cargo delivery throughout a dendritic tree. These findings challenge current understanding of the efficacy of nucleus-to-synapse trafficking and may explain the prevalence of local biosynthesis in neurons.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
India 1 1%
Germany 1 1%
Unknown 84 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 23 26%
Researcher 21 24%
Student > Master 7 8%
Student > Bachelor 5 6%
Student > Doctoral Student 4 5%
Other 14 16%
Unknown 13 15%
Readers by discipline
Readers by discipline Count As %
Neuroscience 22 25%
Agricultural and Biological Sciences 19 22%
Biochemistry, Genetics and Molecular Biology 11 13%
Physics and Astronomy 9 10%
Engineering 4 5%
Other 10 11%
Unknown 12 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 17 March 2025.
All research outputs
#2,610,519
of 34,286,339 outputs
Outputs from eLife
#5,957
of 19,238 outputs
Outputs of similar age
#39,308
of 463,480 outputs
Outputs of similar age from eLife
#135
of 373 outputs
Altmetric has tracked 34,286,339 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 19,238 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has gotten more attention than average, scoring higher than 68% 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 463,480 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 91% of its contemporaries.
We're also able to compare this research output to 373 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 63% of its contemporaries.