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Diagnostic models for fever of unknown origin based on 18F-FDG PET/CT: a prospective study in China

Overview of attention for article published in EJNMMI Research, October 2022
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1 X user

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3 Mendeley
Title
Diagnostic models for fever of unknown origin based on 18F-FDG PET/CT: a prospective study in China
Published in
EJNMMI Research, October 2022
DOI 10.1186/s13550-022-00937-4
Pubmed ID
Authors

Jia Chen, MingYou Xing, Dong Xu, NaNa Xie, WenCong Zhang, QiuRong Ruan, JianXin Song

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

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unspecified 1 33%
Unknown 2 67%
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 30 October 2022.
All research outputs
#20,450,513
of 23,006,268 outputs
Outputs from EJNMMI Research
#393
of 564 outputs
Outputs of similar age
#349,655
of 440,548 outputs
Outputs of similar age from EJNMMI Research
#4
of 10 outputs
Altmetric has tracked 23,006,268 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 564 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 440,548 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 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.