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Preclinical Alzheimer disease: identification of cases at risk among cognitively intact older individuals

Overview of attention for article published in BMC Medicine, October 2012
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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 (79th percentile)

Mentioned by

8 tweeters
1 Facebook page


33 Dimensions

Readers on

79 Mendeley
2 CiteULike
Preclinical Alzheimer disease: identification of cases at risk among cognitively intact older individuals
Published in
BMC Medicine, October 2012
DOI 10.1186/1741-7015-10-127
Pubmed ID

Maciej J Lazarczyk, Patrick R Hof, Constantin Bouras, Panteleimon Giannakopoulos


Since the first description of the case of Auguste Deter, presented in Tübingen in 1906 by Alois Alzheimer, there has been an exponential increase in our knowledge of the neuropathological, cellular, and molecular foundation of Alzheimer's disease (AD). The concept of AD pathogenesis has evolved from a static, binary view discriminating cognitive normality from dementia, towards a dynamic view that considers AD pathology as a long-lasting morbid process that takes place progressively over years, or even decades, before the first symptoms become apparent, and thus operating in a continuum between the two aforementioned extreme states. Several biomarkers have been proposed to predict AD-related cognitive decline, initially in cases with mild cognitive impairment, and more recently in cognitively intact individuals. These early markers define at-risk individuals thought to be in the preclinical phase of AD. However, the clinical relevance of this preclinical phase remains controversial. The fate of such individuals, who are cognitively intact, but positive for some early AD biomarkers, is currently uncertain at best. In this report, we advocate the point of view that although most of these preclinical cases will evolve to clinically overt AD, some appear to have efficient compensatory mechanisms and virtually never develop dementia. We critically review the currently available early AD markers, discuss their clinical relevance, and propose a novel classification of preclinical AD, designating these non-progressing cases as 'stable asymptomatic cerebral amyloidosis'.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Korea, Republic of 1 1%
Italy 1 1%
United Kingdom 1 1%
Spain 1 1%
Japan 1 1%
Philippines 1 1%
Unknown 72 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 32%
Researcher 15 19%
Student > Master 8 10%
Professor 6 8%
Student > Postgraduate 5 6%
Other 15 19%
Unknown 5 6%
Readers by discipline Count As %
Medicine and Dentistry 29 37%
Psychology 11 14%
Agricultural and Biological Sciences 8 10%
Neuroscience 8 10%
Engineering 3 4%
Other 7 9%
Unknown 13 16%

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 25 October 2013.
All research outputs
of 13,963,825 outputs
Outputs from BMC Medicine
of 2,193 outputs
Outputs of similar age
of 148,104 outputs
Outputs of similar age from BMC Medicine
of 171 outputs
Altmetric has tracked 13,963,825 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,193 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.1. This one is in the 32nd percentile – i.e., 32% 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 148,104 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 79% of its contemporaries.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.