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Large-Scale Brain Networks in the Awake, Truly Resting Marmoset Monkey

Overview of attention for article published in Journal of Neuroscience, October 2013
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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7 X users
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3 patents
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1 Google+ user

Readers on

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201 Mendeley
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4 CiteULike
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Article details
Title
Large-Scale Brain Networks in the Awake, Truly Resting Marmoset Monkey
Published in
Journal of Neuroscience, October 2013
DOI 10.1523/jneurosci.3146-13.2013
Pubmed ID
Authors
Abstract

Resting-state functional MRI is a powerful tool that is increasingly used as a noninvasive method for investigating whole-brain circuitry and holds great potential as a possible diagnostic for disease. Despite this potential, few resting-state studies have used animal models (of which nonhuman primates represent our best opportunity of understanding complex human neuropsychiatric disease), and no work has characterized networks in awake, truly resting animals. Here we present results from a small New World monkey that allows for the characterization of resting-state networks in the awake state. Six adult common marmosets (Callithrix jacchus) were acclimated to light, comfortable restraint using individualized helmets. Following behavioral training, resting BOLD data were acquired during eight consecutive 10 min scans for each conscious subject. Group independent component analysis revealed 12 brain networks that overlap substantially with known anatomically constrained circuits seen in the awake human. Specifically, we found eight sensory and "lower-order" networks (four visual, two somatomotor, one cerebellar, and one caudate-putamen network), and four "higher-order" association networks (one default mode-like network, one orbitofrontal, one frontopolar, and one network resembling the human salience network). In addition to their functional relevance, these network patterns bear great correspondence to those previously described in awake humans. This first-of-its-kind report in an awake New World nonhuman primate provides a platform for mechanistic neurobiological examination for existing disease models established in the marmoset.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 201 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 5 2%
Germany 2 <1%
Mexico 1 <1%
Japan 1 <1%
Finland 1 <1%
Austria 1 <1%
Unknown 190 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 60 30%
Student > Ph. D. Student 33 16%
Student > Master 20 10%
Student > Bachelor 11 5%
Professor 11 5%
Other 39 19%
Unknown 27 13%
Readers by discipline
Readers by discipline Count As %
Neuroscience 70 35%
Agricultural and Biological Sciences 32 16%
Psychology 26 13%
Medicine and Dentistry 12 6%
Engineering 8 4%
Other 7 3%
Unknown 46 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 16 April 2026.
All research outputs
#4,282,470
of 34,526,284 outputs
Outputs from Journal of Neuroscience
#5,467
of 23,427 outputs
Outputs of similar age
#33,338
of 259,129 outputs
Outputs of similar age from Journal of Neuroscience
#87
of 349 outputs
Altmetric has tracked 34,526,284 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 23,427 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 76% 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 259,129 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 349 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.