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Validating and improving public transport origin–destination estimation algorithm using smart card fare data

Overview of attention for article published in Transportation Research: Part C, July 2016
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1 X user

Citations

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106 Dimensions

Readers on

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202 Mendeley
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Title
Validating and improving public transport origin–destination estimation algorithm using smart card fare data
Published in
Transportation Research: Part C, July 2016
DOI 10.1016/j.trc.2016.05.004
Authors

Azalden Alsger, Behrang Assemi, Mahmoud Mesbah, Luis Ferreira

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

Geographical breakdown

Country Count As %
Singapore 1 <1%
Unknown 201 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 23%
Student > Master 36 18%
Researcher 18 9%
Student > Bachelor 16 8%
Professor 7 3%
Other 25 12%
Unknown 54 27%
Readers by discipline Count As %
Engineering 84 42%
Computer Science 27 13%
Business, Management and Accounting 8 4%
Social Sciences 7 3%
Earth and Planetary Sciences 5 2%
Other 9 4%
Unknown 62 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 November 2016.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Transportation Research: Part C
#794
of 1,106 outputs
Outputs of similar age
#237,606
of 367,269 outputs
Outputs of similar age from Transportation Research: Part C
#12
of 18 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,106 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 12th percentile – i.e., 12% 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 367,269 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.