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Etiologic Framework for the Study of Neurodegenerative Disorders as Well as Vascular and Metabolic Comorbidities on the Grounds of Shared Epidemiologic and Biologic Features

Overview of attention for article published in Frontiers in Aging Neuroscience, June 2016
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  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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Title
Etiologic Framework for the Study of Neurodegenerative Disorders as Well as Vascular and Metabolic Comorbidities on the Grounds of Shared Epidemiologic and Biologic Features
Published in
Frontiers in Aging Neuroscience, June 2016
DOI 10.3389/fnagi.2016.00138
Pubmed ID
Authors

Jesús de Pedro-Cuesta, Pablo Martínez-Martín, Alberto Rábano, María Ruiz-Tovar, Enrique Alcalde-Cabero, Miguel Calero

Abstract

Background: During the last two decades, protein aggregation at all organismal levels, from viruses to humans, has emerged from a neglected area of protein science to become a central issue in biology and biomedicine. This article constitutes a risk-based review aimed at supporting an etiologic scenario of selected, sporadic, protein-associated, i.e., conformational, neurodegenerative disorders (NDDs), and their vascular- and metabolic-associated ailments. Methods: A rationale is adopted, to incorporate selected clinical data and results from animal-model research, complementing epidemiologic evidences reported in two prior articles. Findings: Theory is formulated assuming an underlying conformational transmission mechanism, mediated either by horizontal transfer of mammalian genes coding for specific aggregation-prone proteins, or by xeno-templating between bacterial and host proteins. We build a few population-based and experimentally-testable hypotheses focusing on: (1) non-disposable surgical instruments for sporadic Creutzfeldt-Jakob disease (sCJD) and other rapid progressive neurodegenerative dementia (sRPNDd), multiple system atrophy (MSA), and motor neuron disease (MND); and (2) specific bacterial infections such as B. pertussis and E. coli for all forms, but particularly for late-life sporadic conformational, NDDs, type 2 diabetes mellitus (T2DM), and atherosclerosis where natural protein fibrils present in such organisms as a result of adaptation to the human host induce prion-like mechanisms. Conclusion: Implications for cohort alignment and experimental animal research are discussed and research lines proposed.

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X Demographics

The data shown below were collected from the profiles of 7 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Ph. D. Student 5 15%
Professor > Associate Professor 4 12%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Other 7 21%
Unknown 6 18%
Readers by discipline Count As %
Medicine and Dentistry 9 27%
Biochemistry, Genetics and Molecular Biology 3 9%
Neuroscience 3 9%
Business, Management and Accounting 2 6%
Agricultural and Biological Sciences 2 6%
Other 4 12%
Unknown 10 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 06 July 2016.
All research outputs
#6,749,444
of 24,072,790 outputs
Outputs from Frontiers in Aging Neuroscience
#2,694
of 5,129 outputs
Outputs of similar age
#107,918
of 358,826 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#43
of 91 outputs
Altmetric has tracked 24,072,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 5,129 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 47th percentile – i.e., 47% 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 358,826 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 69% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.