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Ability of machine-learning based clinical decision support system to reduce alert fatigue, wrong-drug errors, and alert users about look alike, sound alike medication

Overview of attention for article published in Computer Methods & Programs in Biomedicine, October 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 2,116)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
74 news outlets
twitter
1 X user

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Ability of machine-learning based clinical decision support system to reduce alert fatigue, wrong-drug errors, and alert users about look alike, sound alike medication
Published in
Computer Methods & Programs in Biomedicine, October 2023
DOI 10.1016/j.cmpb.2023.107869
Pubmed ID
Authors

Chun-You Chen, Ya-Lin Chen, Jeremiah Scholl, Hsuan-Chia Yang, Yu-Chuan Jack Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 8%
Unspecified 1 4%
Student > Bachelor 1 4%
Student > Master 1 4%
Researcher 1 4%
Other 1 4%
Unknown 17 71%
Readers by discipline Count As %
Computer Science 4 17%
Unspecified 1 4%
Business, Management and Accounting 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Unknown 17 71%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 546. 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 June 2024.
All research outputs
#46,653
of 26,180,352 outputs
Outputs from Computer Methods & Programs in Biomedicine
#1
of 2,116 outputs
Outputs of similar age
#890
of 368,355 outputs
Outputs of similar age from Computer Methods & Programs in Biomedicine
#1
of 39 outputs
Altmetric has tracked 26,180,352 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,116 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% 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 368,355 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.