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Simplified programming and control of automated radiosynthesizers through unit operations

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 (72nd percentile)

Mentioned by

twitter
1 tweeter
patent
1 patent

Citations

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7 Dimensions

Readers on

mendeley
15 Mendeley
Title
Simplified programming and control of automated radiosynthesizers through unit operations
Published in
EJNMMI Research, July 2013
DOI 10.1186/2191-219x-3-53
Pubmed ID
Authors

Shane B Claggett, Kevin M Quinn, Mark Lazari, Melissa D Moore, R Michael van Dam

Abstract

Many automated radiosynthesizers for producing positron emission tomography (PET) probes provide a means for the operator to create custom synthesis programs. The programming interfaces are typically designed with the engineer rather than the radiochemist in mind, requiring lengthy programs to be created from sequences of low-level, non-intuitive hardware operations. In some cases, the user is even responsible for adding steps to update the graphical representation of the system. In light of these unnecessarily complex approaches, we have created software to perform radiochemistry on the ELIXYS radiosynthesizer with the goal of being intuitive and easy to use.

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

Geographical breakdown

Country Count As %
United States 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 20%
Other 2 13%
Professor > Associate Professor 2 13%
Researcher 2 13%
Unspecified 1 7%
Other 4 27%
Unknown 1 7%
Readers by discipline Count As %
Medicine and Dentistry 5 33%
Engineering 4 27%
Computer Science 3 20%
Economics, Econometrics and Finance 1 7%
Unspecified 1 7%
Other 0 0%
Unknown 1 7%

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 26 December 2019.
All research outputs
#4,580,917
of 16,502,283 outputs
Outputs from EJNMMI Research
#65
of 396 outputs
Outputs of similar age
#33,885
of 129,224 outputs
Outputs of similar age from EJNMMI Research
#1
of 3 outputs
Altmetric has tracked 16,502,283 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 396 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 81% 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 129,224 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 72% of its contemporaries.
We're also able to compare this research output to 3 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