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Rhythm of the streets: a street classification framework based on street activity patterns

Overview of attention for article published in EPJ Data Science, July 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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
35 X users
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
17 Mendeley
Title
Rhythm of the streets: a street classification framework based on street activity patterns
Published in
EPJ Data Science, July 2022
DOI 10.1140/epjds/s13688-022-00355-5
Pubmed ID
Authors

Tianyu Su, Maoran Sun, Zhuangyuan Fan, Ariel Noyman, Alex Pentland, Esteban Moro

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 12%
Researcher 2 12%
Student > Master 1 6%
Student > Bachelor 1 6%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 9 53%
Readers by discipline Count As %
Engineering 3 18%
Computer Science 2 12%
Earth and Planetary Sciences 1 6%
Unknown 11 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 05 October 2022.
All research outputs
#1,593,654
of 24,858,211 outputs
Outputs from EPJ Data Science
#136
of 418 outputs
Outputs of similar age
#34,515
of 423,864 outputs
Outputs of similar age from EPJ Data Science
#2
of 15 outputs
Altmetric has tracked 24,858,211 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.5. This one has gotten more attention than average, scoring higher than 67% 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 423,864 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.