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Application of dynamic spatiotemporal modeling to predict urban traffic–related air pollution changes

Overview of attention for article published in Air Quality, Atmosphere & Health, November 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
5 Mendeley
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Title
Application of dynamic spatiotemporal modeling to predict urban traffic–related air pollution changes
Published in
Air Quality, Atmosphere & Health, November 2023
DOI 10.1007/s11869-023-01456-4
Authors

Seyedeh Zeinab Shogrkhodaei, Amanollah Fathnia, Seyed Vahid Razavi-Termeh, Sirous Hashemi Dareh Badami, Khalifa M. Al-Kindi

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Lecturer 1 20%
Unknown 3 60%
Readers by discipline Count As %
Arts and Humanities 1 20%
Unspecified 1 20%
Unknown 3 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 March 2024.
All research outputs
#15,034,815
of 25,758,695 outputs
Outputs from Air Quality, Atmosphere & Health
#230
of 482 outputs
Outputs of similar age
#144,410
of 364,369 outputs
Outputs of similar age from Air Quality, Atmosphere & Health
#3
of 15 outputs
Altmetric has tracked 25,758,695 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 482 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has gotten more attention than average, scoring higher than 51% 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 364,369 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 59% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.