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Understanding coupling dynamics of public transportation networks

Overview of attention for article published in EPJ Data Science, July 2018
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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 (87th percentile)

Mentioned by

twitter
30 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
43 Mendeley
Title
Understanding coupling dynamics of public transportation networks
Published in
EPJ Data Science, July 2018
DOI 10.1140/epjds/s13688-018-0148-6
Authors

Zhihao Zheng, Zhiren Huang, Fan Zhang, Pu Wang

Twitter Demographics

The data shown below were collected from the profiles of 30 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 30%
Student > Master 8 19%
Researcher 5 12%
Student > Doctoral Student 3 7%
Lecturer 1 2%
Other 4 9%
Unknown 9 21%
Readers by discipline Count As %
Engineering 6 14%
Social Sciences 6 14%
Business, Management and Accounting 5 12%
Physics and Astronomy 5 12%
Computer Science 3 7%
Other 5 12%
Unknown 13 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 30 March 2019.
All research outputs
#1,220,887
of 16,504,673 outputs
Outputs from EPJ Data Science
#142
of 258 outputs
Outputs of similar age
#34,088
of 278,518 outputs
Outputs of similar age from EPJ Data Science
#1
of 1 outputs
Altmetric has tracked 16,504,673 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 258 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.5. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 278,518 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 87% of its contemporaries.
We're also able to compare this research output to 1 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