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Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme—A Post Hoc Analysis

Overview of attention for article published in Journal of Personalized Medicine, May 2022
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1 X user

Citations

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13 Dimensions

Readers on

mendeley
20 Mendeley
Title
Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme—A Post Hoc Analysis
Published in
Journal of Personalized Medicine, May 2022
DOI 10.3390/jpm12050756
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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 20%
Unspecified 1 5%
Student > Bachelor 1 5%
Student > Ph. D. Student 1 5%
Unknown 13 65%
Readers by discipline Count As %
Medicine and Dentistry 3 15%
Business, Management and Accounting 1 5%
Unspecified 1 5%
Computer Science 1 5%
Engineering 1 5%
Other 0 0%
Unknown 13 65%
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 19 May 2022.
All research outputs
#19,206,083
of 23,800,390 outputs
Outputs from Journal of Personalized Medicine
#1,929
of 2,709 outputs
Outputs of similar age
#317,796
of 444,310 outputs
Outputs of similar age from Journal of Personalized Medicine
#198
of 264 outputs
Altmetric has tracked 23,800,390 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,709 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 12th percentile – i.e., 12% 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 444,310 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 264 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.