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Artificial neural networks for non-linear age correction of diffusion metrics in the brain

Overview of attention for article published in Frontiers in Aging Neuroscience, October 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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2 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Artificial neural networks for non-linear age correction of diffusion metrics in the brain
Published in
Frontiers in Aging Neuroscience, October 2022
DOI 10.3389/fnagi.2022.999787
Pubmed ID
Authors

Thomas D. Kocar, Anna Behler, Christoph Leinert, Michael Denkinger, Albert C. Ludolph, Hans-Peter Müller, Jan Kassubek

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Student > Postgraduate 1 17%
Student > Doctoral Student 1 17%
Unknown 3 50%
Readers by discipline Count As %
Computer Science 1 17%
Medicine and Dentistry 1 17%
Engineering 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 December 2023.
All research outputs
#13,714,910
of 23,257,423 outputs
Outputs from Frontiers in Aging Neuroscience
#3,052
of 4,924 outputs
Outputs of similar age
#180,392
of 446,097 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#173
of 319 outputs
Altmetric has tracked 23,257,423 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,924 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one is in the 36th percentile – i.e., 36% 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 446,097 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 57% of its contemporaries.
We're also able to compare this research output to 319 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.