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Designing Chinese hospital emergency departments to leverage artificial intelligence—a systematic literature review on the challenges and opportunities

Overview of attention for article published in Frontiers in Medical Technology, March 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
1 Mendeley
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Title
Designing Chinese hospital emergency departments to leverage artificial intelligence—a systematic literature review on the challenges and opportunities
Published in
Frontiers in Medical Technology, March 2024
DOI 10.3389/fmedt.2024.1307625
Pubmed ID
Authors

Sijie Tan, Grant Mills

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 April 2024.
All research outputs
#20,274,449
of 25,782,917 outputs
Outputs from Frontiers in Medical Technology
#140
of 295 outputs
Outputs of similar age
#174,807
of 278,728 outputs
Outputs of similar age from Frontiers in Medical Technology
#3
of 15 outputs
Altmetric has tracked 25,782,917 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 295 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 42nd percentile – i.e., 42% 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 278,728 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 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 73% of its contemporaries.