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Through the eyes into the brain, using artificial intelligence.

Overview of attention for article published in Annals of the Academy of Medicine Singapore, February 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#49 of 452)
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Through the eyes into the brain, using artificial intelligence.
Published in
Annals of the Academy of Medicine Singapore, February 2023
DOI 10.47102/annals-acadmedsg.2022369
Pubmed ID
Authors

Kanchalika Sathianvichitr, Oriana Lamoureux, Sakura Nakada, Zhiqun Tang, Leopold Schmetterer, Christopher Chen, Carol Y Cheung, Raymond P Najjar, Dan Milea

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Professor 1 13%
Other 1 13%
Student > Doctoral Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Nursing and Health Professions 1 13%
Computer Science 1 13%
Social Sciences 1 13%
Neuroscience 1 13%
Engineering 1 13%
Other 0 0%
Unknown 3 38%
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 10 March 2023.
All research outputs
#4,963,905
of 25,872,466 outputs
Outputs from Annals of the Academy of Medicine Singapore
#49
of 452 outputs
Outputs of similar age
#95,646
of 428,266 outputs
Outputs of similar age from Annals of the Academy of Medicine Singapore
#1
of 4 outputs
Altmetric has tracked 25,872,466 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 452 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 87% 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 428,266 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 76% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them