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Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors

Overview of attention for article published in Environmental Science & Technology, January 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
6 news outlets
blogs
1 blog
policy
5 policy sources
twitter
7 X users

Citations

dimensions_citation
458 Dimensions

Readers on

mendeley
263 Mendeley
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Title
Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors
Published in
Environmental Science & Technology, January 2019
DOI 10.1021/acs.est.8b06392
Pubmed ID
Authors

Aaron van Donkelaar, Randall V. Martin, Chi Li, Richard T. Burnett

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 263 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 263 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 24%
Researcher 38 14%
Student > Master 35 13%
Student > Bachelor 15 6%
Other 13 5%
Other 37 14%
Unknown 63 24%
Readers by discipline Count As %
Environmental Science 48 18%
Earth and Planetary Sciences 30 11%
Economics, Econometrics and Finance 17 6%
Engineering 15 6%
Medicine and Dentistry 11 4%
Other 53 20%
Unknown 89 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 65. 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 25 September 2023.
All research outputs
#657,253
of 25,385,509 outputs
Outputs from Environmental Science & Technology
#972
of 20,682 outputs
Outputs of similar age
#15,418
of 446,949 outputs
Outputs of similar age from Environmental Science & Technology
#20
of 221 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 20,682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one has done particularly well, scoring higher than 95% 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 446,949 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 96% of its contemporaries.
We're also able to compare this research output to 221 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 90% of its contemporaries.