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Finding behavioral and network indicators of brain vulnerability

Overview of attention for article published in Frontiers in Human Neuroscience, January 2012
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  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Citations

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62 Mendeley
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1 CiteULike
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Title
Finding behavioral and network indicators of brain vulnerability
Published in
Frontiers in Human Neuroscience, January 2012
DOI 10.3389/fnhum.2012.00010
Pubmed ID
Authors

Nava Levit-Binnun, Yulia Golland

Abstract

Resilience research has usually focused on identifying protective factors associated with specific stress conditions (e.g., war, trauma) or psychopathologies (e.g., post-traumatic stress disorder [PTSD]). Implicit in this research is the concept that resilience is a global construct, invariant to the unfavorable circumstances or the psychopathologies that may develop (i.e., the mechanisms underlying the resilience of an individual in all cases are expected to be similar). Here we contribute to the understanding of resilience-and its counterpart, vulnerability-by employing an approach that makes use of this invariant quality. We outline two main characteristics that we would expect from indicators of a vulnerable state: that they should appear across disorders regardless of specific circumstances, and that they should appear much before the disorder is evident. Next, we identify two sets of factors that exhibit this pattern of association with psychopathological states. The first was a set of "low-level" sensory, motor and regulatory irregularities that have been reported across the clinical literature; we suggest that these can serve as behavioral indicators of a vulnerable state. The second was the set of aberrations in network metrics that have been reported in the field of systems neuroscience; we suggest that these can serve as network indicators of a vulnerable state. Finally, we explore how behavioral indicators may be related to network indicators and discuss the clinical and research-related implications of our work.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 2%
Netherlands 1 2%
United Kingdom 1 2%
Korea, Republic of 1 2%
Japan 1 2%
Unknown 57 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Student > Master 8 13%
Researcher 6 10%
Student > Doctoral Student 6 10%
Other 4 6%
Other 16 26%
Unknown 8 13%
Readers by discipline Count As %
Psychology 21 34%
Medicine and Dentistry 10 16%
Nursing and Health Professions 4 6%
Engineering 4 6%
Neuroscience 4 6%
Other 9 15%
Unknown 10 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 February 2017.
All research outputs
#6,392,214
of 22,710,079 outputs
Outputs from Frontiers in Human Neuroscience
#2,728
of 7,126 outputs
Outputs of similar age
#57,660
of 244,149 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#128
of 294 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 7,126 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 61% 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 244,149 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 294 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 56% of its contemporaries.