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Nomogram Model Based on Clinical Risk Factors and Heart Rate Variability for Predicting All-Cause Mortality in Stage 5 CKD Patients

Overview of attention for article published in Frontiers in Genetics, May 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
2 X users

Citations

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3 Dimensions

Readers on

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3 Mendeley
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Title
Nomogram Model Based on Clinical Risk Factors and Heart Rate Variability for Predicting All-Cause Mortality in Stage 5 CKD Patients
Published in
Frontiers in Genetics, May 2022
DOI 10.3389/fgene.2022.872920
Pubmed ID
Authors

Xueyan Gao, Jing Wang, Hui Huang, Xiaoxue Ye, Ying Cui, Wenkai Ren, Fangyan Xu, Hanyang Qian, Zhanhui Gao, Ming Zeng, Guang Yang, Yaoyu Huang, Shaowen Tang, Changying Xing, Huiting Wan, Lina Zhang, Huimin Chen, Yao Jiang, Jing Zhang, Yujie Xiao, Anning Bian, Fan Li, Yongyue Wei, Ningning Wang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 33%
Unknown 2 67%
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 06 November 2022.
All research outputs
#19,445,552
of 24,762,960 outputs
Outputs from Frontiers in Genetics
#6,688
of 13,334 outputs
Outputs of similar age
#306,085
of 434,952 outputs
Outputs of similar age from Frontiers in Genetics
#350
of 888 outputs
Altmetric has tracked 24,762,960 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,334 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 41st percentile – i.e., 41% 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 434,952 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 888 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.