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Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco

Overview of attention for article published in Technological Forecasting and Social Change, November 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

policy
2 policy sources
twitter
1 X user
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Readers on

mendeley
1442 Mendeley
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Article details
Title
Towards an effective framework for building smart cities: Lessons from Seoul and San Francisco
Published in
Technological Forecasting and Social Change, November 2014
DOI 10.1016/j.techfore.2013.08.033
Authors

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Timeline Attention over time Attention Score history
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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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 1,442 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Portugal 6 <1%
United Kingdom 4 <1%
Brazil 3 <1%
France 3 <1%
Spain 2 <1%
Australia 1 <1%
Belgium 1 <1%
Canada 1 <1%
Germany 1 <1%
Other 14 <1%
Unknown 1406 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 272 19%
Student > Ph. D. Student 244 17%
Researcher 119 8%
Student > Doctoral Student 96 7%
Student > Bachelor 90 6%
Other 224 16%
Unknown 397 28%
Readers by discipline
Readers by discipline Count As %
Business, Management and Accounting 219 15%
Engineering 192 13%
Computer Science 180 12%
Social Sciences 175 12%
Environmental Science 58 4%
Other 181 13%
Unknown 437 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 21 August 2025.
All research outputs
#4,430,335
of 33,503,100 outputs
Outputs from Technological Forecasting and Social Change
#491
of 2,952 outputs
Outputs of similar age
#42,327
of 301,573 outputs
Outputs of similar age from Technological Forecasting and Social Change
#3
of 17 outputs
Altmetric has tracked 33,503,100 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,952 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done well, scoring higher than 83% 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 301,573 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.