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Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging

Overview of attention for article published in Neuroinformatics, March 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Readers on

mendeley
41 Mendeley
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Title
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging
Published in
Neuroinformatics, March 2019
DOI 10.1007/s12021-019-9415-3
Pubmed ID
Authors

Vanessa Gómez-Verdejo, Emilio Parrado-Hernández, Jussi Tohka

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 24%
Student > Ph. D. Student 5 12%
Lecturer 4 10%
Student > Master 4 10%
Student > Doctoral Student 3 7%
Other 5 12%
Unknown 10 24%
Readers by discipline Count As %
Neuroscience 7 17%
Medicine and Dentistry 3 7%
Agricultural and Biological Sciences 3 7%
Computer Science 3 7%
Mathematics 2 5%
Other 9 22%
Unknown 14 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 September 2021.
All research outputs
#13,064,153
of 23,136,540 outputs
Outputs from Neuroinformatics
#194
of 407 outputs
Outputs of similar age
#165,803
of 351,782 outputs
Outputs of similar age from Neuroinformatics
#4
of 6 outputs
Altmetric has tracked 23,136,540 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 407 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 52% 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 351,782 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 52% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.