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Crowd disasters as systemic failures: analysis of the Love Parade disaster

Overview of attention for article published in EPJ Data Science, June 2012
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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 (97th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
17 tweeters
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
2 Google+ users
video
1 video uploader

Citations

dimensions_citation
152 Dimensions

Readers on

mendeley
253 Mendeley
citeulike
2 CiteULike
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Title
Crowd disasters as systemic failures: analysis of the Love Parade disaster
Published in
EPJ Data Science, June 2012
DOI 10.1140/epjds7
Authors

Dirk Helbing, Pratik Mukerji

Twitter Demographics

The data shown below were collected from the profiles of 17 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 253 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Germany 4 2%
United States 3 1%
Switzerland 2 <1%
Portugal 2 <1%
Virgin Islands, U.S. 1 <1%
France 1 <1%
Canada 1 <1%
New Zealand 1 <1%
Other 3 1%
Unknown 231 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 24%
Student > Master 43 17%
Researcher 33 13%
Student > Bachelor 24 9%
Professor > Associate Professor 14 6%
Other 58 23%
Unknown 21 8%
Readers by discipline Count As %
Computer Science 56 22%
Engineering 36 14%
Social Sciences 28 11%
Physics and Astronomy 26 10%
Psychology 13 5%
Other 56 22%
Unknown 38 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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 28 September 2020.
All research outputs
#464,774
of 16,110,865 outputs
Outputs from EPJ Data Science
#53
of 253 outputs
Outputs of similar age
#2,867
of 129,070 outputs
Outputs of similar age from EPJ Data Science
#1
of 1 outputs
Altmetric has tracked 16,110,865 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 253 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.2. This one has done well, scoring higher than 79% 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 129,070 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 97% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them