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Sifting through the surfeit of neuroinflammation tracers

Overview of attention for article published in Journal of Cerebral Blood Flow & Metabolism, December 2017
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Title
Sifting through the surfeit of neuroinflammation tracers
Published in
Journal of Cerebral Blood Flow & Metabolism, December 2017
DOI 10.1177/0271678x17748786
Pubmed ID
Authors

Cumming, Paul, Burgher, Bjorn, Patkar, Omkar, Breakspear, Michael, Vasdev, Neil, Thomas, Paul, Liu, Guo-Jun, Banati, Richard

Abstract

The first phase of molecular brain imaging of microglial activation in neuroinflammatory conditions began some 20 years ago with the introduction of [11C]-( R)-PK11195, the prototype isoquinoline ligand for translocator protein (18 kDa) (TSPO). Investigations by positron emission tomography (PET) revealed microgliosis in numerous brain diseases, despite the rather low specific binding signal imparted by [11C]-( R)-PK11195. There has since been enormous expansion of the repertoire of TSPO tracers, many with higher specific binding, albeit complicated by allelic dependence of the affinity. However, the specificity of TSPO PET for revealing microglial activation not been fully established, and it has been difficult to judge the relative merits of the competing tracers and analysis methods with respect to their sensitivity for detecting microglial activation. We therefore present a systematic comparison of 13 TSPO PET and single photon computed tomography (SPECT) tracers belonging to five structural classes, each of which has been investigated by compartmental analysis in healthy human brain relative to a metabolite-corrected arterial input. We emphasize the need to establish the non-displaceable binding component for each ligand and conclude with five recommendations for a standard approach to define the cellular distribution of TSPO signals, and to characterize the properties of candidate TSPO tracers.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Researcher 6 23%
Student > Bachelor 4 15%
Student > Master 3 12%
Unspecified 2 8%
Other 4 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 19%
Neuroscience 5 19%
Unspecified 4 15%
Psychology 3 12%
Chemistry 3 12%
Other 6 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 December 2017.
All research outputs
#10,927,838
of 12,330,736 outputs
Outputs from Journal of Cerebral Blood Flow & Metabolism
#1,986
of 2,303 outputs
Outputs of similar age
#287,566
of 346,706 outputs
Outputs of similar age from Journal of Cerebral Blood Flow & Metabolism
#69
of 98 outputs
Altmetric has tracked 12,330,736 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,303 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.