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Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain

Overview of attention for article published in Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, September 2020
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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 (85th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
twitter
7 X users

Readers on

mendeley
88 Mendeley
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Title
Real-time AI prediction for major adverse cardiac events in emergency department patients with chest pain
Published in
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, September 2020
DOI 10.1186/s13049-020-00786-x
Pubmed ID
Authors

Pei-I Zhang, Chien-Chin Hsu, Yuan Kao, Chia-Jung Chen, Ya-Wei Kuo, Shu-Lien Hsu, Tzu-Lan Liu, Hung-Jung Lin, Jhi-Joung Wang, Chung-Feng Liu, Chien-Cheng Huang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 88 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 13%
Student > Bachelor 9 10%
Student > Ph. D. Student 7 8%
Researcher 5 6%
Student > Doctoral Student 4 5%
Other 12 14%
Unknown 40 45%
Readers by discipline Count As %
Medicine and Dentistry 13 15%
Nursing and Health Professions 12 14%
Computer Science 6 7%
Engineering 3 3%
Sports and Recreations 3 3%
Other 5 6%
Unknown 46 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 July 2024.
All research outputs
#2,494,803
of 26,673,263 outputs
Outputs from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#233
of 1,420 outputs
Outputs of similar age
#62,980
of 431,195 outputs
Outputs of similar age from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#8
of 33 outputs
Altmetric has tracked 26,673,263 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,420 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one has done well, scoring higher than 83% 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 431,195 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 85% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.