↓ Skip to main content

Study of the Economic, Environmental, and Social Factors Affecting Chinese Residents' Health Based on Machine Learning

Overview of attention for article published in Frontiers in Public Health, June 2022
Altmetric Badge

About this Attention Score

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

Mentioned by

twitter
3 X users

Readers on

mendeley
9 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
Study of the Economic, Environmental, and Social Factors Affecting Chinese Residents' Health Based on Machine Learning
Published in
Frontiers in Public Health, June 2022
DOI 10.3389/fpubh.2022.896635
Pubmed ID
Authors

Hui Xu, Wei Pan, Meng Xin, Wulin Pan, Cheng Hu, Dai Wanqiang, Ge Huang

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 11%
Student > Bachelor 1 11%
Researcher 1 11%
Unknown 6 67%
Readers by discipline Count As %
Nursing and Health Professions 2 22%
Unspecified 1 11%
Unknown 6 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 14 June 2022.
All research outputs
#17,659,617
of 22,668,244 outputs
Outputs from Frontiers in Public Health
#4,793
of 9,582 outputs
Outputs of similar age
#291,026
of 437,030 outputs
Outputs of similar age from Frontiers in Public Health
#489
of 1,234 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,582 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one is in the 42nd percentile – i.e., 42% 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 437,030 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,234 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.