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Towards more inclusive AI systems in cities

Overview of attention for article published in Dialogues in Urban Research, September 2026
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

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Article details
Title
Towards more inclusive AI systems in cities
Published in
Dialogues in Urban Research, September 2026
DOI 10.1177/27541258261493151
Authors

Siew Ying Shee, Orlando Woods

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 08 October 2026.
All research outputs
#22,873,149
of 34,550,734 outputs
Outputs from Dialogues in Urban Research
#44
of 86 outputs
Outputs of similar age
#58,286
of 201,800 outputs
Outputs of similar age from Dialogues in Urban Research
#1
of 1 outputs
Altmetric has tracked 34,550,734 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 86 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 44th percentile – i.e., 44% 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 201,800 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 70% of its contemporaries.
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