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ELIXYS - a fully automated, three-reactor high-pressure radiosynthesizer for development and routine production of diverse PET tracers

Overview of attention for article published in EJNMMI Research, July 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

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1 X user
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1 patent

Citations

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13 Mendeley
Title
ELIXYS - a fully automated, three-reactor high-pressure radiosynthesizer for development and routine production of diverse PET tracers
Published in
EJNMMI Research, July 2013
DOI 10.1186/2191-219x-3-52
Pubmed ID
Authors

Mark Lazari, Kevin M Quinn, Shane B Claggett, Jeffrey Collins, Gaurav J Shah, Henry E Herman, Brandon Maraglia, Michael E Phelps, Melissa D Moore, R Michael van Dam

Abstract

Automated radiosynthesizers are vital for routine production of positron-emission tomography tracers to minimize radiation exposure to operators and to ensure reproducible synthesis yields. The recent trend in the synthesizer industry towards the use of disposable kits aims to simplify setup and operation for the user, but often introduces several limitations related to temperature and chemical compatibility, thus requiring reoptimization of protocols developed on non-cassette-based systems. Radiochemists would benefit from a single hybrid system that provides tremendous flexibility for development and optimization of reaction conditions while also providing a pathway to simple, cassette-based production of diverse tracers.

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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 8%
Unknown 12 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 38%
Lecturer 1 8%
Other 1 8%
Student > Ph. D. Student 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 4 31%
Readers by discipline Count As %
Medicine and Dentistry 3 23%
Engineering 2 15%
Chemistry 2 15%
Biochemistry, Genetics and Molecular Biology 1 8%
Chemical Engineering 1 8%
Other 0 0%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 September 2018.
All research outputs
#6,392,943
of 22,714,025 outputs
Outputs from EJNMMI Research
#111
of 555 outputs
Outputs of similar age
#54,153
of 194,569 outputs
Outputs of similar age from EJNMMI Research
#1
of 4 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 555 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 78% 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 194,569 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 70% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them