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Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm

Overview of attention for article published in Frontiers in Cardiovascular Medicine, October 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
3 X users

Citations

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5 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm
Published in
Frontiers in Cardiovascular Medicine, October 2022
DOI 10.3389/fcvm.2022.993142
Pubmed ID
Authors

Hao Chen, Rui Jiang, Wentao Huang, Kequan Chen, Ruijie Zeng, Huihuan Wu, Qi Yang, Kehang Guo, Jingwei Li, Rui Wei, Songyan Liao, Hung-Fat Tse, Weihong Sha, Zewei Zhuo

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Student > Ph. D. Student 1 9%
Professor 1 9%
Unknown 6 55%
Readers by discipline Count As %
Medicine and Dentistry 2 18%
Environmental Science 1 9%
Unknown 8 73%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 October 2022.
All research outputs
#15,284,641
of 24,703,227 outputs
Outputs from Frontiers in Cardiovascular Medicine
#2,076
of 8,615 outputs
Outputs of similar age
#203,591
of 431,604 outputs
Outputs of similar age from Frontiers in Cardiovascular Medicine
#191
of 1,011 outputs
Altmetric has tracked 24,703,227 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,615 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 74% 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 431,604 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 1,011 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.