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Error and attack tolerance of collective problem solving: The DARPA Shredder Challenge

Overview of attention for article published in EPJ Data Science, September 2014
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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 (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
18 X users
wikipedia
4 Wikipedia pages

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
54 Mendeley
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Title
Error and attack tolerance of collective problem solving: The DARPA Shredder Challenge
Published in
EPJ Data Science, September 2014
DOI 10.1140/epjds/s13688-014-0013-1
Authors

Nicolas Stefanovitch, Aamena Alshamsi, Manuel Cebrian, Iyad Rahwan

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Switzerland 1 2%
Ireland 1 2%
United Kingdom 1 2%
Denmark 1 2%
Japan 1 2%
United States 1 2%
Unknown 47 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 31%
Other 7 13%
Student > Master 7 13%
Researcher 4 7%
Student > Doctoral Student 3 6%
Other 9 17%
Unknown 7 13%
Readers by discipline Count As %
Computer Science 25 46%
Business, Management and Accounting 5 9%
Engineering 3 6%
Psychology 2 4%
Design 2 4%
Other 5 9%
Unknown 12 22%
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 06 September 2021.
All research outputs
#2,729,530
of 24,688,240 outputs
Outputs from EPJ Data Science
#221
of 418 outputs
Outputs of similar age
#30,050
of 258,150 outputs
Outputs of similar age from EPJ Data Science
#7
of 15 outputs
Altmetric has tracked 24,688,240 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 418 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 40.7. This one is in the 47th percentile – i.e., 47% 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 258,150 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 88% of its contemporaries.
We're also able to compare this research output to 15 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 60% of its contemporaries.