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Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility

Overview of attention for article published in Computers, Environment & Urban Systems, May 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 620)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
12 news outlets
twitter
1 X user
patent
1 patent

Citations

dimensions_citation
132 Dimensions

Readers on

mendeley
268 Mendeley
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Title
Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility
Published in
Computers, Environment & Urban Systems, May 2020
DOI 10.1016/j.compenvurbsys.2020.101483
Authors

Rui Zhu, Xiaohu Zhang, Dániel Kondor, Paolo Santi, Carlo Ratti

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 268 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 48 18%
Student > Master 31 12%
Student > Bachelor 20 7%
Researcher 19 7%
Lecturer 10 4%
Other 29 11%
Unknown 111 41%
Readers by discipline Count As %
Engineering 50 19%
Business, Management and Accounting 18 7%
Computer Science 14 5%
Social Sciences 14 5%
Environmental Science 11 4%
Other 38 14%
Unknown 123 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 96. 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 08 November 2022.
All research outputs
#438,147
of 25,387,668 outputs
Outputs from Computers, Environment & Urban Systems
#4
of 620 outputs
Outputs of similar age
#13,977
of 410,102 outputs
Outputs of similar age from Computers, Environment & Urban Systems
#1
of 10 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 620 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 99% 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 410,102 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 96% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them