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Mapping neuroinflammation in frontotemporal dementia with molecular PET imaging

Overview of attention for article published in Journal of Neuroinflammation, May 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

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1 news outlet
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1 X user
patent
1 patent

Citations

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52 Dimensions

Readers on

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135 Mendeley
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Title
Mapping neuroinflammation in frontotemporal dementia with molecular PET imaging
Published in
Journal of Neuroinflammation, May 2015
DOI 10.1186/s12974-015-0236-5
Pubmed ID
Authors

Jing Zhang

Abstract

Recent findings have led to a renewed interest and support for an active role of inflammation in neurodegenerative dementias and related neurologic disorders. Detection of neuroinflammation in vivo throughout the course of neurodegenerative diseases is of great clinical interest. Studies have shown that microglia activation (an indicator of neuroinflammation) may present at early stages of frontotemporal dementia (FTD), but the role of neuroinflammation in the pathogenesis of FTD is largely unknown. The first-generation translocator protein (TSPO) ligand ([(11)C]-PK11195) has been used to detect microglia activation in FTD, and the second-generation TSPO ligands have imaged neuroinflammation in vivo with improved pharmacokinetic properties. This paper reviews related literature and technical issues on mapping neuroinflammation in FTD with positron-emission tomography (PET) imaging. Early detection of neuroinflammation in FTD may identify new tools for diagnosis, novel treatment targets, and means to monitor therapeutic efficacy. More studies are needed to image and track neuroinflammation in FTD. It is anticipated that the advances of TSPO PET imaging will overcome technical difficulties, and molecular imaging of neuroinflammation will aid in the characterization of neuroinflammation in FTD. Such knowledge has the potential to shed light on the poorly understood pathogenesis of FTD and related dementias and provide imaging markers to guide the development and assessment of new therapies.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Japan 1 <1%
United States 1 <1%
Unknown 132 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 21%
Student > Ph. D. Student 28 21%
Student > Bachelor 12 9%
Student > Master 10 7%
Professor 9 7%
Other 23 17%
Unknown 24 18%
Readers by discipline Count As %
Neuroscience 35 26%
Medicine and Dentistry 26 19%
Agricultural and Biological Sciences 13 10%
Pharmacology, Toxicology and Pharmaceutical Science 5 4%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 14 10%
Unknown 38 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 04 October 2023.
All research outputs
#2,698,617
of 24,657,405 outputs
Outputs from Journal of Neuroinflammation
#393
of 2,847 outputs
Outputs of similar age
#33,932
of 270,743 outputs
Outputs of similar age from Journal of Neuroinflammation
#4
of 51 outputs
Altmetric has tracked 24,657,405 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,847 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done well, scoring higher than 85% 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 270,743 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 87% of its contemporaries.
We're also able to compare this research output to 51 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 94% of its contemporaries.