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Integrated Machine Learning Decision Tree Model for Risk Evaluation in Patients with Non-Valvular Atrial Fibrillation When Taking Different Doses of Dabigatran

Overview of attention for article published in International Journal of Environmental Research and Public Health, January 2023
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Mentioned by

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1 X user

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17 Mendeley
Title
Integrated Machine Learning Decision Tree Model for Risk Evaluation in Patients with Non-Valvular Atrial Fibrillation When Taking Different Doses of Dabigatran
Published in
International Journal of Environmental Research and Public Health, January 2023
DOI 10.3390/ijerph20032359
Pubmed ID
Authors

Yung-Chuan Huang, Yu-Chen Cheng, Mao-Jhen Jhou, Mingchih Chen, Chi-Jie Lu

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 12%
Unspecified 1 6%
Student > Ph. D. Student 1 6%
Researcher 1 6%
Unknown 12 71%
Readers by discipline Count As %
Engineering 2 12%
Unspecified 1 6%
Computer Science 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unknown 12 71%
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 18 April 2023.
All research outputs
#20,673,680
of 25,394,764 outputs
Outputs from International Journal of Environmental Research and Public Health
#25,557
of 31,824 outputs
Outputs of similar age
#350,340
of 473,262 outputs
Outputs of similar age from International Journal of Environmental Research and Public Health
#1,737
of 2,243 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,824 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 9th percentile – i.e., 9% 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 473,262 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,243 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.