| Title |
Tau PET Imaging in Alzheimer’s Disease
|
|---|---|
| Published in |
Current Neurology and Neuroscience Reports, September 2014
|
| DOI | 10.1007/s11910-014-0500-6 |
| Pubmed ID | |
| Authors |
Nobuyuki Okamura, Ryuichi Harada, Shozo Furumoto, Hiroyuki Arai, Kazuhiko Yanai, Yukitsuka Kudo |
| Abstract |
In several neurodegenerative diseases that are collectively called tauopathies, progressive accumulation of tau in the brain is closely associated with neurodegeneration and cognitive impairment. Noninvasive detection of tau protein deposits in the brain would be useful to diagnose tauopathies as well as to track and predict disease progression. Recently, several tau PET tracers including T807, THK-5117, and PBB3 have been developed and succeeded in imaging neurofibrillary pathology in vivo. For use of tau PET as a biomarker of tau pathology in Alzheimer's disease, PET tracers should have high affinity to PHF-tau and high selectivity for tau over amyloid-β and other protein deposits. PET tau imaging enables the longitudinal assessment of the spatial pattern of tau deposition and its relation to amyloid-β pathology and neurodegeneration. This technology could also be applied to the pharmacological assessment of anti-tau therapy, thereby allowing preventive interventions. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Chile | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 234 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Germany | 1 | <1% |
| Austria | 1 | <1% |
| Netherlands | 1 | <1% |
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 224 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 18% |
| Researcher | 35 | 15% |
| Student > Master | 27 | 12% |
| Student > Bachelor | 24 | 10% |
| Student > Doctoral Student | 18 | 8% |
| Other | 37 | 16% |
| Unknown | 52 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 17% |
| Neuroscience | 28 | 12% |
| Psychology | 20 | 9% |
| Engineering | 16 | 7% |
| Agricultural and Biological Sciences | 15 | 6% |
| Other | 49 | 21% |
| Unknown | 66 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 22 May 2017.
All research outputs
#3,698,329
of 22,772,779 outputs
Outputs from Current Neurology and Neuroscience Reports
#202
of 914 outputs
Outputs of similar age
#41,358
of 251,161 outputs
Outputs of similar age from Current Neurology and Neuroscience Reports
#3
of 18 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 914 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 77% of its peers.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.