↓ Skip to main content

Deep learning-based gas-phase chemical kinetics kernel emulator: Application in a global air quality simulation case

Overview of attention for article published in Frontiers in Environmental Science, August 2022
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
6 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.
Title
Deep learning-based gas-phase chemical kinetics kernel emulator: Application in a global air quality simulation case
Published in
Frontiers in Environmental Science, August 2022
DOI 10.3389/fenvs.2022.955980
Authors

Zixi Wang, Jie Li, Lin Wu, Mingming Zhu, Yujing Zhang, Zhilan Ye, Zifa Wang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 1 17%
Lecturer 1 17%
Unknown 4 67%
Readers by discipline Count As %
Unspecified 1 17%
Environmental Science 1 17%
Unknown 4 67%
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 24 September 2022.
All research outputs
#20,796,509
of 23,400,864 outputs
Outputs from Frontiers in Environmental Science
#2,046
of 3,699 outputs
Outputs of similar age
#346,037
of 434,637 outputs
Outputs of similar age from Frontiers in Environmental Science
#240
of 450 outputs
Altmetric has tracked 23,400,864 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,699 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 1st percentile – i.e., 1% 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 434,637 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 450 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.