↓ Skip to main content

Predicting air quality: Improvements through advanced methods to integrate models and measurements

Overview of attention for article published in Journal of Computational Physics, March 2008
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

policy
2 policy sources

Readers on

mendeley
158 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.
Article details
Title
Predicting air quality: Improvements through advanced methods to integrate models and measurements
Published in
Journal of Computational Physics, March 2008
DOI 10.1016/j.jcp.2007.02.024
Authors

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
South Africa 2 1%
Spain 2 1%
United States 1 <1%
Unknown 153 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 42 27%
Student > Ph. D. Student 33 21%
Student > Master 15 9%
Professor > Associate Professor 11 7%
Student > Doctoral Student 7 4%
Other 18 11%
Unknown 32 20%
Readers by discipline
Readers by discipline Count As %
Environmental Science 40 25%
Earth and Planetary Sciences 33 21%
Engineering 15 9%
Computer Science 8 5%
Mathematics 6 4%
Other 17 11%
Unknown 39 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 January 2020.
All research outputs
#6,087,168
of 27,782,313 outputs
Outputs from Journal of Computational Physics
#239
of 5,941 outputs
Outputs of similar age
#21,841
of 105,174 outputs
Outputs of similar age from Journal of Computational Physics
#6
of 18 outputs
Altmetric has tracked 27,782,313 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 5,941 research outputs from this source. They receive a mean Attention Score of 1.7. This one has done particularly well, scoring higher than 94% 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 105,174 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 18 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.