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CODE STROKE ALERT—Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management

Overview of attention for article published in Frontiers in Neurology, July 2019
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

news
1 news outlet
twitter
4 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
60 Mendeley
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Title
CODE STROKE ALERT—Concept and Development of a Novel Open-Source Platform to Streamline Acute Stroke Management
Published in
Frontiers in Neurology, July 2019
DOI 10.3389/fneur.2019.00725
Pubmed ID
Authors

Huey Ming Seah, Moe Burney, Michael Phan, Daniel Shell, Jamin Wu, Kevin Zhou, Owen Brooks, Bronwyn Coulton, Julian Maingard, Jennifer Tang, Gohar Yazdabadi, Bahman Tahayori, Christen Barras, Hong Kuan Kok, Ronil Chandra, Vincent Thijs, Duncan Mark Brooks, Hamed Asadi

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

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 13%
Other 6 10%
Researcher 6 10%
Student > Master 5 8%
Student > Postgraduate 3 5%
Other 8 13%
Unknown 24 40%
Readers by discipline Count As %
Medicine and Dentistry 12 20%
Nursing and Health Professions 6 10%
Biochemistry, Genetics and Molecular Biology 2 3%
Engineering 2 3%
Neuroscience 2 3%
Other 5 8%
Unknown 31 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 28 August 2019.
All research outputs
#3,039,864
of 24,818,814 outputs
Outputs from Frontiers in Neurology
#1,809
of 13,887 outputs
Outputs of similar age
#60,067
of 351,499 outputs
Outputs of similar age from Frontiers in Neurology
#90
of 309 outputs
Altmetric has tracked 24,818,814 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,887 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 86% 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 351,499 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 82% of its contemporaries.
We're also able to compare this research output to 309 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 70% of its contemporaries.