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Machine learning in neurology: what neurologists can learn from machines and vice versa

Overview of attention for article published in Journal of Neurology, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

policy
1 policy source
twitter
4 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
45 Mendeley
Title
Machine learning in neurology: what neurologists can learn from machines and vice versa
Published in
Journal of Neurology, August 2018
DOI 10.1007/s00415-018-8990-9
Pubmed ID
Authors

Rose Bruffaerts

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

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 18%
Other 6 13%
Student > Doctoral Student 4 9%
Researcher 3 7%
Student > Bachelor 2 4%
Other 5 11%
Unknown 17 38%
Readers by discipline Count As %
Computer Science 7 16%
Medicine and Dentistry 4 9%
Neuroscience 3 7%
Business, Management and Accounting 2 4%
Engineering 2 4%
Other 3 7%
Unknown 24 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 January 2022.
All research outputs
#5,320,390
of 25,411,814 outputs
Outputs from Journal of Neurology
#1,401
of 4,973 outputs
Outputs of similar age
#93,812
of 342,030 outputs
Outputs of similar age from Journal of Neurology
#19
of 69 outputs
Altmetric has tracked 25,411,814 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,973 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has gotten more attention than average, scoring higher than 71% 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 342,030 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 72% of its contemporaries.
We're also able to compare this research output to 69 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 73% of its contemporaries.