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A deep learning model for early risk prediction of heart failure with preserved ejection fraction by DNA methylation profiles combined with clinical features

Overview of attention for article published in Clinical Epigenetics, January 2022
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

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13 Dimensions

Readers on

mendeley
39 Mendeley
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Title
A deep learning model for early risk prediction of heart failure with preserved ejection fraction by DNA methylation profiles combined with clinical features
Published in
Clinical Epigenetics, January 2022
DOI 10.1186/s13148-022-01232-8
Pubmed ID
Authors

Xuetong Zhao, Yang Sui, Xiuyan Ruan, Xinyue Wang, Kunlun He, Wei Dong, Hongzhu Qu, Xiangdong Fang

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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 8%
Student > Master 3 8%
Student > Ph. D. Student 2 5%
Student > Bachelor 1 3%
Professor 1 3%
Other 5 13%
Unknown 24 62%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 10%
Computer Science 4 10%
Medicine and Dentistry 3 8%
Business, Management and Accounting 2 5%
Unspecified 1 3%
Other 2 5%
Unknown 23 59%
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 21 January 2022.
All research outputs
#15,708,425
of 23,344,526 outputs
Outputs from Clinical Epigenetics
#878
of 1,291 outputs
Outputs of similar age
#283,890
of 506,430 outputs
Outputs of similar age from Clinical Epigenetics
#29
of 45 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,291 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 24th percentile – i.e., 24% 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 506,430 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.