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In vivo tracking of tau pathology using positron emission tomography (PET) molecular imaging in small animals

Overview of attention for article published in Translational Neurodegeneration, January 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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6 tweeters

Citations

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19 Dimensions

Readers on

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46 Mendeley
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Title
In vivo tracking of tau pathology using positron emission tomography (PET) molecular imaging in small animals
Published in
Translational Neurodegeneration, January 2014
DOI 10.1186/2047-9158-3-6
Pubmed ID
Authors

Eduardo Zimmer, Antoine Leuzy, Venkat Bhat, Serge Gauthier, Pedro Rosa-Neto

Abstract

Hyperphosphorylation of the tau protein leading to the formation of neurofibrillary tangles (NFTs) is a common feature in a wide range of neurodegenerative diseases known as tauopathies, which include Alzheimer's disease (AD) and the frontotemporal dementias (FTDs). Although heavily investigated, the mechanisms underlying the pathogenesis and progression of tauopathies have yet to be fully understood. In this context, several rodent models have been developed that successfully recapitulate the behavioral and neurochemical features of tau pathology, aiming to achieve a better understanding of the link between tau and neurodegeneration. To date, behavioral and biochemical parameters assessed using these models have been conducted using a combination of memory tasks and invasive methods such as cerebrospinal fluid (CSF) sampling or post-mortem analysis. Recently, several novel positron emission tomography (PET) radiopharmaceuticals targeting tau tangles have been developed, allowing for non-invasive in vivo quantification of tau pathology. Combined with tau transgenic models and microPET, these tracers hold the promise of advancing the development of theoretical models and advancing our understanding of the natural history of AD and non-AD tauopathies. In this review, we briefly describe some of the most important insights for understanding the biological basis of tau pathology, and shed light on the opportunity for improved modeling of tau pathology using a combination of tau-radiopharmaceuticals and animal models.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 4%
Canada 1 2%
Unknown 43 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 30%
Student > Ph. D. Student 7 15%
Student > Master 7 15%
Professor > Associate Professor 4 9%
Other 3 7%
Other 7 15%
Unknown 4 9%
Readers by discipline Count As %
Neuroscience 11 24%
Medicine and Dentistry 10 22%
Agricultural and Biological Sciences 6 13%
Biochemistry, Genetics and Molecular Biology 6 13%
Chemistry 2 4%
Other 5 11%
Unknown 6 13%

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 18 March 2014.
All research outputs
#786,808
of 4,507,778 outputs
Outputs from Translational Neurodegeneration
#18
of 57 outputs
Outputs of similar age
#22,105
of 107,394 outputs
Outputs of similar age from Translational Neurodegeneration
#2
of 5 outputs
Altmetric has tracked 4,507,778 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 57 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.8. This one has gotten more attention than average, scoring higher than 68% 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 107,394 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.