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Radiogenomics of lower-grade gliomas: machine learning–based MRI texture analysis for predicting 1p/19q codeletion status

Overview of attention for article published in European Radiology, November 2019
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1 X user

Citations

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67 Mendeley
Title
Radiogenomics of lower-grade gliomas: machine learning–based MRI texture analysis for predicting 1p/19q codeletion status
Published in
European Radiology, November 2019
DOI 10.1007/s00330-019-06492-2
Pubmed ID
Authors

Burak Kocak, Emine Sebnem Durmaz, Ece Ates, Ipek Sel, Saime Turgut Gunes, Ozlem Korkmaz Kaya, Amalya Zeynalova, Ozgur Kilickesmez

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

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 12%
Other 7 10%
Student > Postgraduate 6 9%
Student > Doctoral Student 4 6%
Student > Ph. D. Student 4 6%
Other 7 10%
Unknown 31 46%
Readers by discipline Count As %
Medicine and Dentistry 11 16%
Computer Science 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Engineering 4 6%
Neuroscience 3 4%
Other 4 6%
Unknown 36 54%
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 May 2020.
All research outputs
#20,587,621
of 23,172,045 outputs
Outputs from European Radiology
#3,370
of 4,192 outputs
Outputs of similar age
#310,380
of 365,443 outputs
Outputs of similar age from European Radiology
#54
of 65 outputs
Altmetric has tracked 23,172,045 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 4,192 research outputs from this source. They receive a mean Attention Score of 4.6. 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 365,443 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 65 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.