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Design a regional and multistep air quality forecast model based on deep learning and domain knowledge

Overview of attention for article published in Frontiers in Earth Science, September 2022
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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4 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Design a regional and multistep air quality forecast model based on deep learning and domain knowledge
Published in
Frontiers in Earth Science, September 2022
DOI 10.3389/feart.2022.995843
Authors

Xinyue Mo, Huan Li, Lei Zhang

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Unspecified 2 10%
Student > Bachelor 2 10%
Student > Doctoral Student 1 5%
Lecturer 1 5%
Other 1 5%
Unknown 9 43%
Readers by discipline Count As %
Engineering 4 19%
Unspecified 2 10%
Environmental Science 2 10%
Agricultural and Biological Sciences 1 5%
Business, Management and Accounting 1 5%
Other 2 10%
Unknown 9 43%
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 04 November 2022.
All research outputs
#20,136,391
of 24,752,377 outputs
Outputs from Frontiers in Earth Science
#2,687
of 5,861 outputs
Outputs of similar age
#314,913
of 429,519 outputs
Outputs of similar age from Frontiers in Earth Science
#169
of 370 outputs
Altmetric has tracked 24,752,377 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,861 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 38th percentile – i.e., 38% 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 429,519 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 370 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.