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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

  • Above-average Attention Score compared to outputs of the same age (59th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
76 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 12%
Student > Bachelor 8 11%
Student > Ph. D. Student 7 9%
Researcher 5 7%
Student > Doctoral Student 4 5%
Other 11 14%
Unknown 32 42%
Readers by discipline Count As %
Medicine and Dentistry 12 16%
Nursing and Health Professions 9 12%
Computer Science 6 8%
Engineering 3 4%
Sports and Recreations 3 4%
Other 5 7%
Unknown 38 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 October 2020.
All research outputs
#7,759,012
of 23,727,139 outputs
Outputs from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#679
of 1,281 outputs
Outputs of similar age
#162,491
of 402,800 outputs
Outputs of similar age from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#25
of 33 outputs
Altmetric has tracked 23,727,139 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,281 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
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 402,800 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 59% 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 is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.