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The circuitry of abulia: Insights from functional connectivity MRI

Overview of attention for article published in NeuroImage: Clinical, September 2014
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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16 X users

Citations

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46 Dimensions

Readers on

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94 Mendeley
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Title
The circuitry of abulia: Insights from functional connectivity MRI
Published in
NeuroImage: Clinical, September 2014
DOI 10.1016/j.nicl.2014.09.012
Pubmed ID
Authors

J.S. Siegel, A.Z. Snyder, N.V. Metcalf, R.P. Fucetola, C.D. Hacker, J.S. Shimony, G.L. Shulman, M. Corbetta

Abstract

Functional imaging and lesion studies have associated willed behavior with the anterior cingulate cortex (ACC). Abulia is a syndrome characterized by apathy and deficiency of motivated behavior. Abulia is most frequently associated with ACC damage, but also occurs following damage to subcortical nuclei (striatum, globus pallidus, thalamic nuclei). We present resting state functional connectivity MRI (fcMRI) data from an individual who suffered a stroke leading to abulia. We hypothesized that, although structural imaging revealed no damage to the patient's ACC, fcMRI would uncover aberrant function in this region and in the relevant cortical networks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
Spain 1 1%
United States 1 1%
Unknown 91 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 16%
Student > Ph. D. Student 13 14%
Student > Master 13 14%
Other 8 9%
Student > Postgraduate 7 7%
Other 21 22%
Unknown 17 18%
Readers by discipline Count As %
Medicine and Dentistry 23 24%
Neuroscience 19 20%
Psychology 16 17%
Agricultural and Biological Sciences 5 5%
Engineering 2 2%
Other 6 6%
Unknown 23 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 30 June 2021.
All research outputs
#4,677,950
of 25,732,188 outputs
Outputs from NeuroImage: Clinical
#786
of 2,816 outputs
Outputs of similar age
#47,338
of 263,794 outputs
Outputs of similar age from NeuroImage: Clinical
#5
of 42 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,816 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 72% 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 263,794 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 82% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.