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Early prediction of clinical scores for left ventricular reverse remodeling using extreme gradient random forest, boosting, and logistic regression algorithm representations

Overview of attention for article published in Frontiers in Cardiovascular Medicine, August 2022
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1 X user

Citations

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2 Dimensions

Readers on

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20 Mendeley
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Title
Early prediction of clinical scores for left ventricular reverse remodeling using extreme gradient random forest, boosting, and logistic regression algorithm representations
Published in
Frontiers in Cardiovascular Medicine, August 2022
DOI 10.3389/fcvm.2022.864312
Pubmed ID
Authors

Lu Liu, Cen Qiao, Jun-Ren Zha, Huan Qin, Xiao-Rui Wang, Xin-Yu Zhang, Yi-Ou Wang, Xiu-Mei Yang, Shu-Long Zhang, Jing Qin

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.
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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 %
Other 3 15%
Student > Bachelor 2 10%
Student > Master 2 10%
Researcher 1 5%
Lecturer 1 5%
Other 0 0%
Unknown 11 55%
Readers by discipline Count As %
Medicine and Dentistry 4 20%
Computer Science 2 10%
Mathematics 1 5%
Arts and Humanities 1 5%
Business, Management and Accounting 1 5%
Other 0 0%
Unknown 11 55%
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 August 2022.
All research outputs
#20,556,243
of 23,130,383 outputs
Outputs from Frontiers in Cardiovascular Medicine
#4,378
of 7,045 outputs
Outputs of similar age
#343,242
of 433,607 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#626
of 1,019 outputs
Altmetric has tracked 23,130,383 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,045 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 1st percentile – i.e., 1% 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 433,607 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,019 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.