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National Neuroinformatics Framework for Canadian Consortium on Neurodegeneration in Aging (CCNA)

Overview of attention for article published in Frontiers in Neuroinformatics, December 2018
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
41 Mendeley
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Title
National Neuroinformatics Framework for Canadian Consortium on Neurodegeneration in Aging (CCNA)
Published in
Frontiers in Neuroinformatics, December 2018
DOI 10.3389/fninf.2018.00085
Pubmed ID
Authors

Zia Mohaddes, Samir Das, Rida Abou-Haidar, Mouna Safi-Harab, David Blader, Jessica Callegaro, Charlie Henri-Bellemare, Jingla-Fri Tunteng, Leigh Evans, Tara Campbell, Derek Lo, Pierre-Emmanuel Morin, Victor Whitehead, Howard Chertkow, Alan C. Evans

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 %
Student > Master 9 22%
Other 3 7%
Researcher 3 7%
Professor > Associate Professor 3 7%
Student > Postgraduate 2 5%
Other 6 15%
Unknown 15 37%
Readers by discipline Count As %
Medicine and Dentistry 5 12%
Psychology 4 10%
Neuroscience 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Computer Science 2 5%
Other 7 17%
Unknown 17 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 11 January 2019.
All research outputs
#3,175,027
of 23,122,481 outputs
Outputs from Frontiers in Neuroinformatics
#176
of 758 outputs
Outputs of similar age
#74,341
of 435,968 outputs
Outputs of similar age from Frontiers in Neuroinformatics
#7
of 24 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 758 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 75% 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 435,968 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 82% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.