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Characterization of fast-decaying PET radiotracers solely through LC-MS/MS of constituent radioactive and carrier isotopologues

Overview of attention for article published in EJNMMI Research, January 2013
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Mentioned by

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1 Facebook page

Citations

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6 Dimensions

Readers on

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11 Mendeley
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Title
Characterization of fast-decaying PET radiotracers solely through LC-MS/MS of constituent radioactive and carrier isotopologues
Published in
EJNMMI Research, January 2013
DOI 10.1186/2191-219x-3-3
Pubmed ID
Authors

H Umesha Shetty, Cheryl L Morse, Yi Zhang, Victor W Pike

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 55%
Student > Master 2 18%
Student > Bachelor 1 9%
Other 1 9%
Student > Ph. D. Student 1 9%
Other 0 0%
Readers by discipline Count As %
Chemistry 4 36%
Medicine and Dentistry 3 27%
Business, Management and Accounting 1 9%
Neuroscience 1 9%
Engineering 1 9%
Other 0 0%
Unknown 1 9%
Attention Score in Context

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 12 January 2013.
All research outputs
#20,178,948
of 22,693,205 outputs
Outputs from EJNMMI Research
#385
of 555 outputs
Outputs of similar age
#250,119
of 282,503 outputs
Outputs of similar age from EJNMMI Research
#13
of 18 outputs
Altmetric has tracked 22,693,205 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 555 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 282,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.