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Global estimates of daily ambient fine particulate matter concentrations and unequal spatiotemporal distribution of population exposure: a machine learning modelling study

Overview of attention for article published in The Lancet Planetary Health, March 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#21 of 1,014)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
163 news outlets
blogs
10 blogs
twitter
158 X users
facebook
4 Facebook pages
wikipedia
2 Wikipedia pages
reddit
1 Redditor

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
84 Mendeley
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Title
Global estimates of daily ambient fine particulate matter concentrations and unequal spatiotemporal distribution of population exposure: a machine learning modelling study
Published in
The Lancet Planetary Health, March 2023
DOI 10.1016/s2542-5196(23)00008-6
Pubmed ID
Authors

Wenhua Yu, Tingting Ye, Yiwen Zhang, Rongbin Xu, Yadong Lei, Zhuying Chen, Zhengyu Yang, Yuxi Zhang, Jiangning Song, Xu Yue, Shanshan Li, Yuming Guo

X Demographics

X Demographics

The data shown below were collected from the profiles of 158 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 15%
Student > Master 9 11%
Student > Ph. D. Student 6 7%
Professor 5 6%
Professor > Associate Professor 4 5%
Other 15 18%
Unknown 32 38%
Readers by discipline Count As %
Environmental Science 17 20%
Medicine and Dentistry 5 6%
Nursing and Health Professions 4 5%
Biochemistry, Genetics and Molecular Biology 3 4%
Earth and Planetary Sciences 3 4%
Other 20 24%
Unknown 32 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1392. 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 2024.
All research outputs
#9,180
of 25,779,988 outputs
Outputs from The Lancet Planetary Health
#21
of 1,014 outputs
Outputs of similar age
#274
of 425,153 outputs
Outputs of similar age from The Lancet Planetary Health
#3
of 34 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,014 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 143.9. This one has done particularly well, scoring higher than 97% 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 425,153 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.