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Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome

Overview of attention for article published in Frontiers in Robotics and AI, October 2022
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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7 Dimensions

Readers on

mendeley
22 Mendeley
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Title
Classification of multiple sclerosis clinical profiles using machine learning and grey matter connectome
Published in
Frontiers in Robotics and AI, October 2022
DOI 10.3389/frobt.2022.926255
Pubmed ID
Authors

Berardino Barile, Pooya Ashtari, Claudio Stamile, Aldo Marzullo, Frederik Maes, Françoise Durand-Dubief, Sabine Van Huffel, Dominique Sappey-Marinier

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 9%
Student > Master 2 9%
Lecturer 2 9%
Other 1 5%
Student > Ph. D. Student 1 5%
Other 1 5%
Unknown 13 59%
Readers by discipline Count As %
Unspecified 2 9%
Environmental Science 1 5%
Computer Science 1 5%
Psychology 1 5%
Physics and Astronomy 1 5%
Other 2 9%
Unknown 14 64%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 October 2022.
All research outputs
#16,530,130
of 24,319,828 outputs
Outputs from Frontiers in Robotics and AI
#1,094
of 1,633 outputs
Outputs of similar age
#245,850
of 429,037 outputs
Outputs of similar age from Frontiers in Robotics and AI
#49
of 111 outputs
Altmetric has tracked 24,319,828 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,633 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one is in the 26th percentile – i.e., 26% 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 429,037 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 111 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.