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Cerebral amyloidosis associated with cognitive decline in autosomal dominant Alzheimer disease.

Overview of attention for article published in Neurology, August 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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2 news outlets
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33 X users
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1 Facebook page

Citations

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28 Dimensions

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152 Mendeley
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Title
Cerebral amyloidosis associated with cognitive decline in autosomal dominant Alzheimer disease.
Published in
Neurology, August 2015
DOI 10.1212/wnl.0000000000001903
Pubmed ID
Authors

Fen Wang, Brian A. Gordon, Davis C. Ryman, Shengmei Ma, Chengjie Xiong, Jason Hassenstab, Alison Goate, Anne M. Fagan, Nigel J. Cairns, Daniel S. Marcus, Eric McDade, John M. Ringman, Neill R. Graff-Radford, Bernardino Ghetti, Martin R. Farlow, Reisa Sperling, Steve Salloway, Peter R. Schofield, Colin L. Masters, Ralph N. Martins, Martin N. Rossor, Mathias Jucker, Adrian Danek, Stefan Förster, Christopher A.S. Lane, John C. Morris, Tammie L.S. Benzinger, Randall J. Bateman, Fen Wang, Brian A. Gordon, Davis C. Ryman, Shengmei Ma, Chengjie Xiong, Jason Hassenstab, Alison Goate, Anne M. Fagan, Nigel J. Cairns, Daniel S. Marcus, Eric McDade, John M. Ringman, Neill R. Graff-Radford, Bernardino Ghetti, Martin R. Farlow, Reisa Sperling, Steve Salloway, Peter R. Schofield, Colin L. Masters, Ralph N. Martins, Martin N. Rossor, Mathias Jucker, Adrian Danek, Stefan Förster, Christopher A.S. Lane, John C. Morris, Tammie L.S. Benzinger, Randall J. Bateman

Abstract

To investigate the associations of cerebral amyloidosis with concurrent cognitive performance and with longitudinal cognitive decline in asymptomatic and symptomatic stages of autosomal dominant Alzheimer disease (ADAD). Two hundred sixty-three participants enrolled in the Dominantly Inherited Alzheimer Network observational study underwent neuropsychological evaluation as well as PET scans with Pittsburgh compound B. One hundred twenty-one participants completed at least 1 follow-up neuropsychological evaluation. Four composite cognitive measures representing global cognition, episodic memory, language, and working memory were generated using z scores from a battery of 13 standard neuropsychological tests. General linear mixed-effects models were used to investigate the relationship between baseline cerebral amyloidosis and baseline cognitive performance and whether baseline cerebral amyloidosis predicts cognitive change over time (mean follow-up 2.32 years ± 0.92, range 0.89-4.19) after controlling for estimated years from expected symptom onset, APOE ε4 allelic status, and education. In asymptomatic mutation carriers, amyloid burden was not associated with baseline cognitive functioning but was significantly predictive of longitudinal decline in episodic memory. In symptomatic mutation carriers, cerebral amyloidosis was correlated with worse baseline performance in multiple cognitive composites and predicted greater decline over time in global cognition, working memory, and Mini-Mental State Examination. Cerebral amyloidosis predicts longitudinal episodic memory decline in presymptomatic ADAD and multidomain cognitive decline in symptomatic ADAD. These findings imply that amyloidosis in the brain is an indicator of early cognitive decline and provides a useful outcome measure for early assessment and prevention treatment trials.

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 152 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 151 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 22%
Student > Ph. D. Student 22 14%
Student > Master 12 8%
Professor 12 8%
Student > Bachelor 10 7%
Other 28 18%
Unknown 34 22%
Readers by discipline Count As %
Neuroscience 29 19%
Medicine and Dentistry 25 16%
Psychology 16 11%
Nursing and Health Professions 8 5%
Agricultural and Biological Sciences 7 5%
Other 25 16%
Unknown 42 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 01 December 2015.
All research outputs
#1,106,080
of 25,377,790 outputs
Outputs from Neurology
#1,896
of 21,010 outputs
Outputs of similar age
#13,862
of 275,664 outputs
Outputs of similar age from Neurology
#32
of 234 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 21,010 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.7. This one has done particularly well, scoring higher than 90% 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 275,664 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 234 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.