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Development and application of survey-based artificial intelligence for clinical decision support in managing infectious diseases: A pilot study on a hospital in central Vietnam

Overview of attention for article published in Frontiers in Public Health, November 2022
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About this Attention Score

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

Mentioned by

twitter
3 X users

Citations

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2 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Development and application of survey-based artificial intelligence for clinical decision support in managing infectious diseases: A pilot study on a hospital in central Vietnam
Published in
Frontiers in Public Health, November 2022
DOI 10.3389/fpubh.2022.1023098
Pubmed ID
Authors

Kwanghyun Kim, Myung-ken Lee, Hyun Kyung Shin, Hyunglae Lee, Boram Kim, Sunjoo Kang

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 22%
Researcher 2 11%
Student > Postgraduate 1 6%
Student > Bachelor 1 6%
Other 1 6%
Other 2 11%
Unknown 7 39%
Readers by discipline Count As %
Environmental Science 2 11%
Medicine and Dentistry 2 11%
Nursing and Health Professions 2 11%
Unspecified 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Other 2 11%
Unknown 8 44%
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 29 November 2022.
All research outputs
#16,035,704
of 23,801,276 outputs
Outputs from Frontiers in Public Health
#5,171
of 11,506 outputs
Outputs of similar age
#244,990
of 447,314 outputs
Outputs of similar age from Frontiers in Public Health
#548
of 1,506 outputs
Altmetric has tracked 23,801,276 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 50% 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 447,314 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,506 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 59% of its contemporaries.