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Identifying urban features for vulnerable road user safety in Europe

Overview of attention for article published in EPJ Data Science, April 2022
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

policy
1 policy source
twitter
33 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
46 Mendeley
Title
Identifying urban features for vulnerable road user safety in Europe
Published in
EPJ Data Science, April 2022
DOI 10.1140/epjds/s13688-022-00339-5
Authors

Marina Klanjčić, Laetitia Gauvin, Michele Tizzoni, Michael Szell

X Demographics

X Demographics

The data shown below were collected from the profiles of 33 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Researcher 5 11%
Student > Master 3 7%
Lecturer 2 4%
Student > Bachelor 2 4%
Other 4 9%
Unknown 23 50%
Readers by discipline Count As %
Engineering 5 11%
Computer Science 4 9%
Psychology 2 4%
Unspecified 1 2%
Agricultural and Biological Sciences 1 2%
Other 6 13%
Unknown 27 59%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 15 February 2024.
All research outputs
#1,429,328
of 25,579,912 outputs
Outputs from EPJ Data Science
#126
of 451 outputs
Outputs of similar age
#33,588
of 447,431 outputs
Outputs of similar age from EPJ Data Science
#4
of 23 outputs
Altmetric has tracked 25,579,912 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 451 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.0. This one has gotten more attention than average, scoring higher than 72% 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 447,431 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 92% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.