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The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer’s Disease

Overview of attention for article published in Frontiers in Aging Neuroscience, September 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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

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8 news outlets
blogs
1 blog
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4 X users
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1 Facebook page

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101 Mendeley
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Title
The Vallecas Project: A Cohort to Identify Early Markers and Mechanisms of Alzheimer’s Disease
Published in
Frontiers in Aging Neuroscience, September 2015
DOI 10.3389/fnagi.2015.00181
Pubmed ID
Authors

Javier Olazarán, Meritxell Valentí, Belén Frades, María Ascensión Zea-Sevilla, Marina Ávila-Villanueva, Miguel Ángel Fernández-Blázquez, Miguel Calero, José Luis Dobato, Juan Antonio Hernández-Tamames, Beatriz León-Salas, Luis Agüera-Ortiz, Jorge López-Álvarez, Pedro Larrañaga, Concha Bielza, Juan Álvarez-Linera, Pablo Martínez-Martín

Abstract

Alzheimer's disease (AD) is a major threat for the well-being of an increasingly aged world population. The physiopathological mechanisms of late-onset AD are multiple, possibly heterogeneous, and not well understood. Different combinations of variables from several domains (i.e., clinical, neuropsychological, structural, and biochemical markers) may predict dementia conversion, according to distinct physiopathological pathways, in different groups of subjects. We launched the Vallecas Project (VP), a cohort study of non-demented people aged 70-85, to characterize the social, clinical, neuropsychological, structural, and biochemical underpinnings of AD inception. Given the exploratory nature of the VP, multidimensional and machine learning techniques will be applied, in addition to the traditional multivariate statistical methods. A total of 1169 subjects were recruited between October 2011 and December 2013. Mean age was 74.4 years (SD 3.9), 63.5% of the subjects were women, and 17.9% of the subjects were carriers of at least one ε4 allele of the apolipoprotein E gene. Cognitive diagnoses at inclusion were as follows: normal cognition 93.0% and mild cognitive impairment (MCI) 7.0% (3.1% amnestic MCI, 0.1% non-amnestic MCI, 3.8% mixed MCI). Blood samples were obtained and stored for future determinations in 99.9% of the subjects and 3T magnetic resonance imaging study was conducted in 89.9% of the volunteers. The cohort is being followed up annually for 4 years after the baseline. We have established a valuable homogeneous single-center cohort which, by identifying groups of variables associated with high risk of MCI or dementia conversion, should help to clarify the early physiopathological mechanisms of AD and should provide avenues for prompt diagnosis and AD prevention.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 <1%
Unknown 100 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 16%
Student > Bachelor 12 12%
Student > Master 11 11%
Student > Ph. D. Student 9 9%
Student > Doctoral Student 6 6%
Other 22 22%
Unknown 25 25%
Readers by discipline Count As %
Psychology 13 13%
Neuroscience 13 13%
Medicine and Dentistry 12 12%
Social Sciences 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 15 15%
Unknown 39 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 70. 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 29 December 2023.
All research outputs
#598,839
of 25,072,471 outputs
Outputs from Frontiers in Aging Neuroscience
#129
of 5,412 outputs
Outputs of similar age
#8,432
of 280,245 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#1
of 56 outputs
Altmetric has tracked 25,072,471 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,412 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has done particularly well, scoring higher than 97% 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 280,245 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 56 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.