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X Demographics
Mendeley readers
Attention Score in Context
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
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
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
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.