↓ Skip to main content

A Non-invasive Radiomic Method Using 18F-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma

Overview of attention for article published in Frontiers in oncology, November 2019
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
38 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A Non-invasive Radiomic Method Using 18F-FDG PET Predicts Isocitrate Dehydrogenase Genotype and Prognosis in Patients With Glioma
Published in
Frontiers in oncology, November 2019
DOI 10.3389/fonc.2019.01183
Pubmed ID
Authors

Longfei Li, Wei Mu, Yaning Wang, Zhenyu Liu, Zehua Liu, Yu Wang, Wenbin Ma, Ziren Kong, Shuo Wang, Xuezhi Zhou, Wei Wei, Xin Cheng, Yusong Lin, Jie Tian

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 13%
Student > Doctoral Student 4 11%
Researcher 4 11%
Other 3 8%
Unspecified 3 8%
Other 7 18%
Unknown 12 32%
Readers by discipline Count As %
Medicine and Dentistry 8 21%
Biochemistry, Genetics and Molecular Biology 4 11%
Unspecified 3 8%
Computer Science 3 8%
Neuroscience 2 5%
Other 3 8%
Unknown 15 39%
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 08 December 2019.
All research outputs
#23,154,082
of 25,806,080 outputs
Outputs from Frontiers in oncology
#16,265
of 22,805 outputs
Outputs of similar age
#324,012
of 376,546 outputs
Outputs of similar age from Frontiers in oncology
#319
of 465 outputs
Altmetric has tracked 25,806,080 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 22,805 research outputs from this source. They receive a mean Attention Score of 3.1. 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 376,546 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 465 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.