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A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times

Overview of attention for article published in Transportation Research: Part C, September 2014
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Mentioned by

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1 X user

Citations

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29 Dimensions

Readers on

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60 Mendeley
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Title
A finite mixture model of vehicle-to-vehicle and day-to-day variability of traffic network travel times
Published in
Transportation Research: Part C, September 2014
DOI 10.1016/j.trc.2014.05.011
Authors

Jiwon Kim, Hani S. Mahmassani

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

Geographical breakdown

Country Count As %
Ireland 1 2%
Lithuania 1 2%
United Kingdom 1 2%
Greece 1 2%
United States 1 2%
Unknown 55 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 30%
Student > Master 12 20%
Student > Doctoral Student 9 15%
Researcher 7 12%
Professor 4 7%
Other 5 8%
Unknown 5 8%
Readers by discipline Count As %
Engineering 34 57%
Social Sciences 7 12%
Computer Science 5 8%
Nursing and Health Professions 1 2%
Earth and Planetary Sciences 1 2%
Other 3 5%
Unknown 9 15%
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 11 November 2014.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from Transportation Research: Part C
#984
of 1,106 outputs
Outputs of similar age
#181,765
of 248,673 outputs
Outputs of similar age from Transportation Research: Part C
#13
of 15 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 2nd percentile – i.e., 2% 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 248,673 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
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 is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.