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Data-driven planning of reliable itineraries in multi-modal transit networks

Overview of attention for article published in Public Transport, December 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
23 Mendeley
Title
Data-driven planning of reliable itineraries in multi-modal transit networks
Published in
Public Transport, December 2019
DOI 10.1007/s12469-019-00221-0
Authors

Michael Redmond, Ann Melissa Campbell, Jan Fabian Ehmke

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Ph. D. Student 3 13%
Student > Postgraduate 3 13%
Student > Master 1 4%
Student > Doctoral Student 1 4%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Engineering 9 39%
Business, Management and Accounting 3 13%
Computer Science 1 4%
Unknown 10 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 December 2019.
All research outputs
#13,025,979
of 23,177,498 outputs
Outputs from Public Transport
#28
of 56 outputs
Outputs of similar age
#205,445
of 459,103 outputs
Outputs of similar age from Public Transport
#1
of 1 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 56 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 48th percentile – i.e., 48% 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 459,103 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% 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