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Evaluating the effect of aging on interference resolution with time-varying complex networks analysis

Overview of attention for article published in Frontiers in Human Neuroscience, May 2015
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Title
Evaluating the effect of aging on interference resolution with time-varying complex networks analysis
Published in
Frontiers in Human Neuroscience, May 2015
DOI 10.3389/fnhum.2015.00255
Pubmed ID
Authors

Pedro Ariza, Elena Solesio-Jofre, Johann H. Martínez, José A. Pineda-Pardo, Guiomar Niso, Fernando Maestú, Javier M. Buldú

Abstract

In this study we used graph theory analysis to investigate age-related reorganization of functional networks during the active maintenance of information that is interrupted by external interference. Additionally, we sought to investigate network differences before and after averaging network parameters between both maintenance and interference windows. We compared young and older adults by measuring their magnetoencephalographic recordings during an interference-based working memory task restricted to successful recognitions. Data analysis focused on the topology/temporal evolution of functional networks during both the maintenance and interference windows. We observed that: (a) Older adults require higher synchronization between cortical brain sites in order to achieve a successful recognition, (b) The main differences between age groups arise during the interference window,

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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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 2 4%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 29%
Student > Ph. D. Student 11 24%
Student > Master 7 16%
Professor 2 4%
Student > Bachelor 1 2%
Other 5 11%
Unknown 6 13%
Readers by discipline Count As %
Neuroscience 14 31%
Psychology 6 13%
Physics and Astronomy 3 7%
Engineering 3 7%
Mathematics 2 4%
Other 7 16%
Unknown 10 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 July 2015.
All research outputs
#14,231,577
of 22,816,807 outputs
Outputs from Frontiers in Human Neuroscience
#4,585
of 7,148 outputs
Outputs of similar age
#138,322
of 264,393 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#119
of 179 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,148 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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 264,393 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.