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Characterizing cognitive aging in humans with links to animal models

Overview of attention for article published in Frontiers in Aging Neuroscience, January 2012
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Title
Characterizing cognitive aging in humans with links to animal models
Published in
Frontiers in Aging Neuroscience, January 2012
DOI 10.3389/fnagi.2012.00021
Pubmed ID
Authors

Gene E. Alexander, Lee Ryan, Dawn Bowers, Thomas C. Foster, Jennifer L. Bizon, David S. Geldmacher, Elizabeth L. Glisky

Abstract

With the population of older adults expected to grow rapidly over the next two decades, it has become increasingly important to advance research efforts to elucidate the mechanisms associated with cognitive aging, with the ultimate goal of developing effective interventions and prevention therapies. Although there has been a vast research literature on the use of cognitive tests to evaluate the effects of aging and age-related neurodegenerative disease, the need for a set of standardized measures to characterize the cognitive profiles specific to healthy aging has been widely recognized. Here we present a review of selected methods and approaches that have been applied in human research studies to evaluate the effects of aging on cognition, including executive function, memory, processing speed, language, and visuospatial function. The effects of healthy aging on each of these cognitive domains are discussed with examples from cognitive/experimental and clinical/neuropsychological approaches. Further, we consider those measures that have clear conceptual and methodological links to tasks currently in use for non-human animal studies of aging, as well as those that have the potential for translation to animal aging research. Having a complementary set of measures to assess the cognitive profiles of healthy aging across species provides a unique opportunity to enhance research efforts for cross-sectional, longitudinal, and intervention studies of cognitive aging. Taking a cross-species, translational approach will help to advance cognitive aging research, leading to a greater understanding of associated neurobiological mechanisms with the potential for developing effective interventions and prevention therapies for age-related cognitive decline.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Brazil 1 <1%
Sweden 1 <1%
India 1 <1%
United Kingdom 1 <1%
Puerto Rico 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 204 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 21%
Student > Master 30 14%
Researcher 25 12%
Student > Bachelor 16 8%
Student > Doctoral Student 14 7%
Other 37 17%
Unknown 46 22%
Readers by discipline Count As %
Psychology 45 21%
Neuroscience 27 13%
Agricultural and Biological Sciences 21 10%
Medicine and Dentistry 18 8%
Biochemistry, Genetics and Molecular Biology 18 8%
Other 18 8%
Unknown 65 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 September 2012.
All research outputs
#18,314,922
of 22,678,224 outputs
Outputs from Frontiers in Aging Neuroscience
#4,001
of 4,721 outputs
Outputs of similar age
#195,977
of 244,101 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#15
of 22 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 9th percentile – i.e., 9% 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 244,101 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.