OpenStreetMap quality assessment using unsupervised machine learning methods

Overview of attention for article published in Transactions in GIS, August 2020

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Good Attention Score compared to outputs of the same age (68th percentile)
Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter: 10 X users

Citations

dimensions_citation: 28 Dimensions

Readers on

mendeley: 44 Mendeley

Summary X Dimensions citations

So far, Altmetric has seen 11 X posts from 10 X users, with an upper bound of 36,402 followers.

RT @CarletonDGES: Congratulations alumnus Kent Jacobs whose paper has been recognized as a top cited paper. Kent's paper is titled "OpenStr…

12 Apr 2022

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RT @CarletonDGES: Congratulations alumnus Kent Jacobs whose paper has been recognized as a top cited paper. Kent's paper is titled "OpenStr…

12 Apr 2022

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Congratulations alumnus Kent Jacobs whose paper has been recognized as a top cited paper. Kent's paper is titled "OpenStreetMap quality assessment using unsupervised machine learning methods". https://t.co/LE5GDrCJp9 @CU_FASS @CarletonAlumni @CarletonSc

12 Apr 2022

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RT @Smitch_ca: Great to see @CarletonDGES alumnus Kent Jacobs' MSc work come out in press! He explored how analysing user contribution data…

24 Aug 2020

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