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Addressing population aging and Alzheimer's disease through the Australian Imaging Biomarkers and Lifestyle study: Collaboration with the Alzheimer's Disease Neuroimaging Initiative

Overview of attention for article published in Alzheimer's & Dementia: the Journal of the Alzheimer's Association, May 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

blogs
1 blog

Citations

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62 Dimensions

Readers on

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90 Mendeley
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Title
Addressing population aging and Alzheimer's disease through the Australian Imaging Biomarkers and Lifestyle study: Collaboration with the Alzheimer's Disease Neuroimaging Initiative
Published in
Alzheimer's & Dementia: the Journal of the Alzheimer's Association, May 2010
DOI 10.1016/j.jalz.2010.03.009
Pubmed ID
Authors

Kathryn A. Ellis, Christopher C. Rowe, Victor L. Villemagne, Ralph N. Martins, Colin L. Masters, Olivier Salvado, Cassandra Szoeke, David Ames, AIBL research group

Abstract

The Australian Imaging Biomarkers and Lifestyle (AIBL) study is a longitudinal study of 1112 volunteers from healthy, mild cognitive impairment, and Alzheimer's disease (AD) populations who can be assessed and followed up for prospective research into aging and AD. AIBL aims to improve understanding of the pathogenesis, early clinical manifestation, and diagnosis of AD, and identify diet and lifestyle factors that influence the development of AD. For AIBL, the magnetic resonance imaging parameters of Alzheimer's Disease Neuroimaging Initiative (ADNI) were adopted and the Pittsuburgh compound B ((11)C-PiB) positron emission tomography (PET) acquisition and neuropsychological tests were designed to permit comparison and pooling with ADNI data. Differences to ADNI include assessment every 18-months, imaging in 25% (magnetic resonance imaging, (11)C-PiB PET but no fluorodeoxyglucose PET), more comprehensive neuropsychological testing, and detailed collection of diet and lifestyle data. AIBL has completed the first 18-month follow-up and is making imaging and clinical data available through the ADNI website. Cross-sectional analysis of baseline data is revealing links between cognition, brain amyloid burden, structural brain changes, biomarkers, and lifestyle.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Malaysia 1 1%
Denmark 1 1%
France 1 1%
Unknown 84 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 22%
Researcher 14 16%
Student > Master 9 10%
Professor 7 8%
Student > Doctoral Student 6 7%
Other 16 18%
Unknown 18 20%
Readers by discipline Count As %
Medicine and Dentistry 17 19%
Psychology 10 11%
Neuroscience 9 10%
Computer Science 9 10%
Agricultural and Biological Sciences 7 8%
Other 15 17%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 04 June 2010.
All research outputs
#5,446,994
of 25,374,647 outputs
Outputs from Alzheimer's & Dementia: the Journal of the Alzheimer's Association
#2,305
of 4,060 outputs
Outputs of similar age
#22,648
of 104,704 outputs
Outputs of similar age from Alzheimer's & Dementia: the Journal of the Alzheimer's Association
#3
of 4 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,060 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 32.3. This one is in the 42nd percentile – i.e., 42% 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 104,704 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.