↓ Skip to main content

Health care costs of cardiovascular disease in China: a machine learning-based cross-sectional study

Overview of attention for article published in Frontiers in Public Health, November 2023
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
2 X users

Readers on

mendeley
2 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Health care costs of cardiovascular disease in China: a machine learning-based cross-sectional study
Published in
Frontiers in Public Health, November 2023
DOI 10.3389/fpubh.2023.1301276
Pubmed ID
Authors

Mengjie Lu, Hong Gao, Chenshu Shi, Yuyin Xiao, Xiyang Li, Lihua Li, Yan Li, Guohong Li

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

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Medicine and Dentistry 1 50%
Unknown 1 50%
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 2023.
All research outputs
#20,140,327
of 24,755,976 outputs
Outputs from Frontiers in Public Health
#7,281
of 13,043 outputs
Outputs of similar age
#111,957
of 166,024 outputs
Outputs of similar age from Frontiers in Public Health
#114
of 389 outputs
Altmetric has tracked 24,755,976 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 29th percentile – i.e., 29% 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 166,024 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 389 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 61% of its contemporaries.