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Artificial Intelligence Policies to Enhance Urban Mobility in Southeast Asia

Overview of attention for article published in Frontiers in Sustainable Cities, March 2022
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Mentioned by

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3 X users

Citations

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2 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Artificial Intelligence Policies to Enhance Urban Mobility in Southeast Asia
Published in
Frontiers in Sustainable Cities, March 2022
DOI 10.3389/frsc.2022.824391
Authors

Yung-Wey Chong, Kris Villanueva-Libunao, Su-Yin Chee, Mary Jane Alvarez, Kok-Lim Alvin Yau, Sye Loong Keoh

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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 7%
Student > Bachelor 4 6%
Lecturer 3 4%
Researcher 3 4%
Student > Doctoral Student 2 3%
Other 9 13%
Unknown 46 64%
Readers by discipline Count As %
Social Sciences 10 14%
Business, Management and Accounting 5 7%
Engineering 3 4%
Unspecified 2 3%
Arts and Humanities 1 1%
Other 4 6%
Unknown 47 65%
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 12 September 2022.
All research outputs
#17,732,227
of 25,992,468 outputs
Outputs from Frontiers in Sustainable Cities
#1
of 1 outputs
Outputs of similar age
#274,118
of 451,647 outputs
Outputs of similar age from Frontiers in Sustainable Cities
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 1.0. This one scored the same or higher as 0 of them.
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 451,647 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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