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Late-life memory trajectories in relation to incident dementia and regional brain atrophy

Overview of attention for article published in Journal of Neurology, August 2015
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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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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1 news outlet
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Citations

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56 Mendeley
Title
Late-life memory trajectories in relation to incident dementia and regional brain atrophy
Published in
Journal of Neurology, August 2015
DOI 10.1007/s00415-015-7871-8
Pubmed ID
Authors

Laura B. Zahodne, Melanie M. Wall, Nicole Schupf, Richard Mayeux, Jennifer J. Manly, Yaakov Stern, Adam M. Brickman

Abstract

The trajectory, or slope, of cognitive decline may provide differentiation of older adults with and without incipient neurodegenerative disease. Cognitive aging phenotypes based on memory trajectories could be used as outcome measures for clinical trials or observational studies of risk and protective factors for dementia. This study used growth mixture modeling (GMM) to identify trajectory groups based on age- and education-corrected composite memory scores derived from immediate, delayed and recognition trials of the Selective Reminding Test. Participants included 2593 participants initially without dementia (mean age at entry = 76) in a community-based study of aging and dementia in northern Manhattan. Trajectory groups were compared on consensus diagnoses of dementia and structural MRI measures of hippocampal volume and entorhinal cortical thickness. Heterogeneity in memory trajectories allowed us to identify four groups: Stable-High (43.5 %), Stable-Low (17.1 %), Decliner (26.8 %), and Rapid Decliner (12.5 %). Decliners had more brain atrophy and higher rates of conversion to dementia. This study highlights the heterogeneity in cognitive aging and provides evidence that most elderly maintain memory function as they age. Associations with dementia and imaging measures validate subgroups of older adults identified with GMM based on their memory trajectories. Future research should use these memory trajectory phenotypes to determine whether dementia risk and protective factors differ for individuals following different memory trajectories.

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The data shown below were collected from the profile of 1 X user 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 14%
Student > Ph. D. Student 7 13%
Researcher 6 11%
Student > Doctoral Student 4 7%
Student > Bachelor 4 7%
Other 9 16%
Unknown 18 32%
Readers by discipline Count As %
Psychology 17 30%
Neuroscience 5 9%
Medicine and Dentistry 3 5%
Nursing and Health Professions 3 5%
Computer Science 2 4%
Other 7 13%
Unknown 19 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 22 August 2015.
All research outputs
#3,121,809
of 22,821,814 outputs
Outputs from Journal of Neurology
#698
of 4,476 outputs
Outputs of similar age
#42,116
of 264,425 outputs
Outputs of similar age from Journal of Neurology
#11
of 51 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,476 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 83% 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 264,425 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 83% of its contemporaries.
We're also able to compare this research output to 51 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 74% of its contemporaries.