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WISDoM: Characterizing Neurological Time Series With the Wishart Distribution

Overview of attention for article published in Frontiers in Neuroinformatics, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

news
1 news outlet
twitter
4 X users

Readers on

mendeley
15 Mendeley
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Title
WISDoM: Characterizing Neurological Time Series With the Wishart Distribution
Published in
Frontiers in Neuroinformatics, January 2021
DOI 10.3389/fninf.2020.611762
Pubmed ID
Authors

Carlo Mengucci, Daniel Remondini, Gastone Castellani, Enrico Giampieri

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 13%
Student > Bachelor 1 7%
Student > Ph. D. Student 1 7%
Other 1 7%
Student > Master 1 7%
Other 1 7%
Unknown 8 53%
Readers by discipline Count As %
Computer Science 2 13%
Neuroscience 2 13%
Physics and Astronomy 2 13%
Agricultural and Biological Sciences 1 7%
Unknown 8 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 16 February 2021.
All research outputs
#2,893,514
of 23,275,636 outputs
Outputs from Frontiers in Neuroinformatics
#145
of 762 outputs
Outputs of similar age
#82,177
of 505,414 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#11
of 16 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 762 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 80% 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 505,414 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.