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Symptom onset in autosomal dominant Alzheimer disease

Overview of attention for article published in Neurology, June 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
2 news outlets
blogs
3 blogs
twitter
10 X users
patent
5 patents
googleplus
1 Google+ user

Citations

dimensions_citation
394 Dimensions

Readers on

mendeley
394 Mendeley
citeulike
2 CiteULike
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Title
Symptom onset in autosomal dominant Alzheimer disease
Published in
Neurology, June 2014
DOI 10.1212/wnl.0000000000000596
Pubmed ID
Authors

Davis C Ryman, Natalia Acosta-Baena, Paul S Aisen, Thomas Bird, Adrian Danek, Nick C Fox, Alison Goate, Peter Frommelt, Bernardino Ghetti, Jessica B S Langbaum, Francisco Lopera, Ralph Martins, Colin L Masters, Richard P Mayeux, Eric McDade, Sonia Moreno, Eric M Reiman, John M Ringman, Steve Salloway, Peter R Schofield, Reisa Sperling, Pierre N Tariot, Chengjie Xiong, John C Morris, Randall J Bateman

Abstract

To identify factors influencing age at symptom onset and disease course in autosomal dominant Alzheimer disease (ADAD), and develop evidence-based criteria for predicting symptom onset in ADAD.METHODS: We have collected individual-level data on ages at symptom onset and death from 387 ADAD pedigrees, compiled from 137 peer-reviewed publications, the Dominantly Inherited Alzheimer Network (DIAN) database, and 2 large kindreds of Colombian (PSEN1 E280A) and Volga German (PSEN2 N141I) ancestry. Our combined dataset includes 3,275 individuals, of whom 1,307 were affected by ADAD with known age at symptom onset. We assessed the relative contributions of several factors in influencing age at onset, including parental age at onset, age at onset by mutation type and family, and APOE genotype and sex. We additionally performed survival analysis using data on symptom onset collected from 183 ADAD mutation carriers followed longitudinally in the DIAN Study.RESULTS: We report summary statistics on age at onset and disease course for 174 ADAD mutations, and discover strong and highly significant (p < 10(-16), r(2) > 0.38) correlations between individual age at symptom onset and predicted values based on parental age at onset and mean ages at onset by mutation type and family, which persist after controlling for APOE genotype and sex.CONCLUSIONS: Significant proportions of the observed variance in age at symptom onset in ADAD can be explained by family history and mutation type, providing empirical support for use of these data to estimate onset in clinical research.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 394 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
China 1 <1%
Singapore 1 <1%
Brazil 1 <1%
Unknown 389 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 66 17%
Researcher 65 16%
Student > Bachelor 39 10%
Student > Master 38 10%
Student > Postgraduate 21 5%
Other 68 17%
Unknown 97 25%
Readers by discipline Count As %
Medicine and Dentistry 70 18%
Neuroscience 69 18%
Agricultural and Biological Sciences 39 10%
Biochemistry, Genetics and Molecular Biology 30 8%
Psychology 20 5%
Other 47 12%
Unknown 119 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 48. 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 15 August 2023.
All research outputs
#880,174
of 25,377,790 outputs
Outputs from Neurology
#1,550
of 21,010 outputs
Outputs of similar age
#8,281
of 243,420 outputs
Outputs of similar age from Neurology
#20
of 196 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 96th 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 92% 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 243,420 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 96% of its contemporaries.
We're also able to compare this research output to 196 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.