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Potential and Shortcomings of Numerical Weather Prediction Models in Providing Meteorological Data for Urban Air Pollution Forecasting

Overview of attention for article published in Water, Air & Soil Pollution: Focus, September 2002
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)

Mentioned by

patent
2 patents
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
29 Dimensions

Readers on

mendeley
22 Mendeley
Title
Potential and Shortcomings of Numerical Weather Prediction Models in Providing Meteorological Data for Urban Air Pollution Forecasting
Published in
Water, Air & Soil Pollution: Focus, September 2002
DOI 10.1023/a:1021394126149
Authors

Alexander Baklanov, Alix Rasmussen, Barbara Fay, Erik Berge, Sandro Finardi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 9%
Student > Bachelor 1 5%
Student > Postgraduate 1 5%
Unknown 18 82%
Readers by discipline Count As %
Environmental Science 2 9%
Engineering 2 9%
Unknown 18 82%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 28 April 2022.
All research outputs
#3,798,611
of 25,374,647 outputs
Outputs from Water, Air & Soil Pollution: Focus
#2
of 70 outputs
Outputs of similar age
#4,893
of 48,922 outputs
Outputs of similar age from Water, Air & Soil Pollution: Focus
#1
of 2 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 70 research outputs from this source. They receive a mean Attention Score of 3.7. 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 48,922 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them