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The cityseer Python package for pedestrian-scale network-based urban analysis

Overview of attention for article published in Environment and Planning B Urban Analytics and City Science, November 2022
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16 X users

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Title
The cityseer Python package for pedestrian-scale network-based urban analysis
Published in
Environment and Planning B Urban Analytics and City Science, November 2022
DOI 10.1177/23998083221133827
Authors

Gareth Simons

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X Demographics

The data shown below were collected from the profiles of 16 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 23%
Student > Master 4 11%
Student > Bachelor 2 6%
Unspecified 2 6%
Other 2 6%
Other 2 6%
Unknown 15 43%
Readers by discipline Count As %
Computer Science 6 17%
Social Sciences 4 11%
Design 3 9%
Unspecified 2 6%
Engineering 2 6%
Other 4 11%
Unknown 14 40%