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Gating, enhanced gating, and beyond: information utilization strategies for motion management, applied to preclinical PET

Overview of attention for article published in EJNMMI Research, April 2013
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1 Facebook page

Citations

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40 Mendeley
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2 CiteULike
Title
Gating, enhanced gating, and beyond: information utilization strategies for motion management, applied to preclinical PET
Published in
EJNMMI Research, April 2013
DOI 10.1186/2191-219x-3-29
Pubmed ID
Authors

Adam Leon Kesner, Galith Abourbeh, Eyal Mishani, Roland Chisin, Sagi Tshori, Nanette Freedman

Abstract

Respiratory gating and gate optimization strategies present solutions for overcoming image degradation caused by respiratory motion in PET and traditionally utilize hardware systems and/or employ complex processing algorithms. In this work, we aimed to advance recently emerging data-driven gating methods and introduce a new strategy for optimizing the four-dimensional data based on information contained in that data. These algorithms are combined to form an automated motion correction workflow.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 43%
Researcher 9 23%
Student > Master 4 10%
Professor > Associate Professor 3 8%
Student > Bachelor 2 5%
Other 4 10%
Unknown 1 3%
Readers by discipline Count As %
Physics and Astronomy 14 35%
Engineering 8 20%
Medicine and Dentistry 6 15%
Computer Science 4 10%
Psychology 2 5%
Other 4 10%
Unknown 2 5%
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 24 April 2013.
All research outputs
#20,191,579
of 22,708,120 outputs
Outputs from EJNMMI Research
#384
of 555 outputs
Outputs of similar age
#168,944
of 194,081 outputs
Outputs of similar age from EJNMMI Research
#2
of 13 outputs
Altmetric has tracked 22,708,120 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 194,081 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 13 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.