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Machine Learning for Subtyping Concussion Using a Clustering Approach

Overview of attention for article published in Frontiers in Human Neuroscience, September 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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
35 Mendeley
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Title
Machine Learning for Subtyping Concussion Using a Clustering Approach
Published in
Frontiers in Human Neuroscience, September 2021
DOI 10.3389/fnhum.2021.716643
Pubmed ID
Authors

Cirelle K. Rosenblatt, Alexandra Harriss, Aliya-Nur Babul, Samuel A. Rosenblatt

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 14%
Researcher 4 11%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Student > Ph. D. Student 1 3%
Other 2 6%
Unknown 18 51%
Readers by discipline Count As %
Medicine and Dentistry 6 17%
Neuroscience 3 9%
Computer Science 2 6%
Psychology 2 6%
Business, Management and Accounting 1 3%
Other 1 3%
Unknown 20 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 December 2022.
All research outputs
#3,806,537
of 23,885,338 outputs
Outputs from Frontiers in Human Neuroscience
#1,736
of 7,389 outputs
Outputs of similar age
#80,868
of 421,916 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#26
of 179 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,389 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has done well, scoring higher than 76% 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 421,916 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 80% of its contemporaries.
We're also able to compare this research output to 179 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.