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Estimation and monitoring of city-to-city travel times using call detail records

Overview of attention for article published in EPJ Data Science, March 2016
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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 (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
30 X users

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
63 Mendeley
Title
Estimation and monitoring of city-to-city travel times using call detail records
Published in
EPJ Data Science, March 2016
DOI 10.1140/epjds/s13688-016-0067-3
Authors

Rainer Kujala, Talayeh Aledavood, Jari Saramäki

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Sri Lanka 1 2%
Unknown 61 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 22%
Student > Master 9 14%
Student > Doctoral Student 6 10%
Researcher 5 8%
Student > Bachelor 4 6%
Other 9 14%
Unknown 16 25%
Readers by discipline Count As %
Computer Science 15 24%
Engineering 12 19%
Social Sciences 7 11%
Business, Management and Accounting 3 5%
Earth and Planetary Sciences 3 5%
Other 6 10%
Unknown 17 27%
Attention Score in Context

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 02 April 2016.
All research outputs
#1,846,089
of 23,577,654 outputs
Outputs from EPJ Data Science
#162
of 386 outputs
Outputs of similar age
#30,951
of 300,095 outputs
Outputs of similar age from EPJ Data Science
#9
of 13 outputs
Altmetric has tracked 23,577,654 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 386 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.3. This one has gotten more attention than average, scoring higher than 58% 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 300,095 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 89% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.