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Learning to cluster urban areas: two competitive approaches and an empirical validation

Overview of attention for article published in EPJ Data Science, December 2022
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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 (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
16 X users

Readers on

mendeley
6 Mendeley
Title
Learning to cluster urban areas: two competitive approaches and an empirical validation
Published in
EPJ Data Science, December 2022
DOI 10.1140/epjds/s13688-022-00374-2
Authors

Camila Vera, Francesca Lucchini, Naim Bro, Marcelo Mendoza, Hans Löbel, Felipe Gutiérrez, Jan Dimter, Gabriel Cuchacovic, Axel Reyes, Hernán Valdivieso, Nicolás Alvarado, Sergio Toro

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 17%
Other 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Social Sciences 3 50%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 14 March 2023.
All research outputs
#2,663,231
of 26,017,215 outputs
Outputs from EPJ Data Science
#220
of 455 outputs
Outputs of similar age
#54,419
of 482,722 outputs
Outputs of similar age from EPJ Data Science
#4
of 12 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 455 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has gotten more attention than average, scoring higher than 51% 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 482,722 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 88% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.