↓ Skip to main content

End to end stroke triage using cerebrovascular morphology and machine learning

Overview of attention for article published in Frontiers in Neurology, October 2023
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
8 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
End to end stroke triage using cerebrovascular morphology and machine learning
Published in
Frontiers in Neurology, October 2023
DOI 10.3389/fneur.2023.1217796
Pubmed ID
Authors

Aditi Deshpande, Jordan Elliott, Bin Jiang, Pouya Tahsili-Fahadan, Chelsea Kidwell, Max Wintermark, Kaveh Laksari

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 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%
Researcher 1 13%
Other 1 13%
Unknown 4 50%
Readers by discipline Count As %
Business, Management and Accounting 2 25%
Unknown 6 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 November 2023.
All research outputs
#14,226,044
of 24,778,793 outputs
Outputs from Frontiers in Neurology
#5,357
of 13,854 outputs
Outputs of similar age
#78,254
of 216,130 outputs
Outputs of similar age from Frontiers in Neurology
#45
of 402 outputs
Altmetric has tracked 24,778,793 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,854 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has gotten more attention than average, scoring higher than 60% 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 216,130 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 62% of its contemporaries.
We're also able to compare this research output to 402 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.