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Mining open datasets for transparency in taxi transport in metropolitan environments

Overview of attention for article published in EPJ Data Science, December 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
45 tweeters
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
67 Mendeley
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Title
Mining open datasets for transparency in taxi transport in metropolitan environments
Published in
EPJ Data Science, December 2015
DOI 10.1140/epjds/s13688-015-0060-2
Authors

Anastasios Noulas, Vsevolod Salnikov, Renaud Lambiotte, Cecilia Mascolo

Twitter Demographics

The data shown below were collected from the profiles of 45 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 1%
Indonesia 1 1%
Austria 1 1%
Lithuania 1 1%
Spain 1 1%
United States 1 1%
Luxembourg 1 1%
Poland 1 1%
Unknown 59 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 30%
Student > Ph. D. Student 14 21%
Student > Bachelor 5 7%
Researcher 5 7%
Lecturer 5 7%
Other 12 18%
Unknown 6 9%
Readers by discipline Count As %
Computer Science 23 34%
Engineering 12 18%
Social Sciences 6 9%
Earth and Planetary Sciences 4 6%
Business, Management and Accounting 2 3%
Other 8 12%
Unknown 12 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 January 2016.
All research outputs
#694,120
of 16,098,805 outputs
Outputs from EPJ Data Science
#89
of 251 outputs
Outputs of similar age
#19,003
of 369,300 outputs
Outputs of similar age from EPJ Data Science
#9
of 24 outputs
Altmetric has tracked 16,098,805 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 251 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.1. This one has gotten more attention than average, scoring higher than 64% 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 369,300 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.