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Unraveling pedestrian mobility on a road network using ICTs data during great tourist events

Overview of attention for article published in EPJ Data Science, October 2018
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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 (85th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
24 X users

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
39 Mendeley
Title
Unraveling pedestrian mobility on a road network using ICTs data during great tourist events
Published in
EPJ Data Science, October 2018
DOI 10.1140/epjds/s13688-018-0168-2
Authors

Chiara Mizzi, Alessandro Fabbri, Sandro Rambaldi, Flavio Bertini, Nico Curti, Stefano Sinigardi, Rachele Luzi, Giulia Venturi, Micheli Davide, Giuliano Muratore, Aldo Vannelli, Armando Bazzani

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 23%
Student > Ph. D. Student 7 18%
Researcher 5 13%
Other 3 8%
Student > Bachelor 2 5%
Other 3 8%
Unknown 10 26%
Readers by discipline Count As %
Computer Science 8 21%
Social Sciences 6 15%
Engineering 4 10%
Business, Management and Accounting 2 5%
Agricultural and Biological Sciences 1 3%
Other 6 15%
Unknown 12 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 25 October 2018.
All research outputs
#2,321,500
of 23,108,064 outputs
Outputs from EPJ Data Science
#205
of 379 outputs
Outputs of similar age
#51,605
of 349,712 outputs
Outputs of similar age from EPJ Data Science
#14
of 20 outputs
Altmetric has tracked 23,108,064 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.0. This one is in the 45th percentile – i.e., 45% 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 349,712 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 85% of its contemporaries.
We're also able to compare this research output to 20 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.