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Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence

Overview of attention for article published in Journal of Digital Imaging, June 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users
patent
1 patent
video
1 YouTube creator

Citations

dimensions_citation
168 Dimensions

Readers on

mendeley
148 Mendeley
Title
Predicting Deletion of Chromosomal Arms 1p/19q in Low-Grade Gliomas from MR Images Using Machine Intelligence
Published in
Journal of Digital Imaging, June 2017
DOI 10.1007/s10278-017-9984-3
Pubmed ID
Authors

Zeynettin Akkus, Issa Ali, Jiří Sedlář, Jay P. Agrawal, Ian F. Parney, Caterina Giannini, Bradley J. Erickson

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 148 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 12%
Researcher 15 10%
Student > Ph. D. Student 14 9%
Student > Bachelor 13 9%
Student > Doctoral Student 12 8%
Other 21 14%
Unknown 55 37%
Readers by discipline Count As %
Computer Science 21 14%
Medicine and Dentistry 20 14%
Engineering 10 7%
Biochemistry, Genetics and Molecular Biology 5 3%
Neuroscience 5 3%
Other 18 12%
Unknown 69 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 26 March 2024.
All research outputs
#7,127,833
of 25,613,746 outputs
Outputs from Journal of Digital Imaging
#268
of 1,051 outputs
Outputs of similar age
#105,413
of 332,039 outputs
Outputs of similar age from Journal of Digital Imaging
#13
of 22 outputs
Altmetric has tracked 25,613,746 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 1,051 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 73% of its peers.
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 332,039 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.