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Regional SUV quantification in hybrid PET/MR, a comparison of two atlas-based automatic brain segmentation methods

Overview of attention for article published in EJNMMI Research, June 2020
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1 X user

Citations

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9 Dimensions

Readers on

mendeley
16 Mendeley
Title
Regional SUV quantification in hybrid PET/MR, a comparison of two atlas-based automatic brain segmentation methods
Published in
EJNMMI Research, June 2020
DOI 10.1186/s13550-020-00648-8
Pubmed ID
Authors

Weiwei Ruan, Xun Sun, Xuehan Hu, Fang Liu, Fan Hu, Jinxia Guo, Yongxue Zhang, Xiaoli Lan

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

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 19%
Student > Ph. D. Student 2 13%
Researcher 2 13%
Student > Bachelor 2 13%
Unknown 7 44%
Readers by discipline Count As %
Medicine and Dentistry 2 13%
Engineering 2 13%
Psychology 1 6%
Nursing and Health Professions 1 6%
Neuroscience 1 6%
Other 1 6%
Unknown 8 50%
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 10 June 2020.
All research outputs
#20,622,845
of 23,213,531 outputs
Outputs from EJNMMI Research
#397
of 568 outputs
Outputs of similar age
#341,072
of 398,774 outputs
Outputs of similar age from EJNMMI Research
#16
of 23 outputs
Altmetric has tracked 23,213,531 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 568 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 398,774 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 23 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.