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Guaranteeing spoof-resilient multi-robot networks

Overview of attention for article published in Autonomous Robots, February 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 519)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
5 news outlets

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
69 Mendeley
Title
Guaranteeing spoof-resilient multi-robot networks
Published in
Autonomous Robots, February 2017
DOI 10.1007/s10514-017-9621-5
Authors

Stephanie Gil, Swarun Kumar, Mark Mazumder, Dina Katabi, Daniela Rus

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 39%
Other 5 7%
Student > Bachelor 5 7%
Student > Master 5 7%
Researcher 4 6%
Other 8 12%
Unknown 15 22%
Readers by discipline Count As %
Computer Science 21 30%
Engineering 20 29%
Neuroscience 2 3%
Chemistry 2 3%
Earth and Planetary Sciences 1 1%
Other 0 0%
Unknown 23 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 35. 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 20 March 2017.
All research outputs
#972,816
of 22,959,818 outputs
Outputs from Autonomous Robots
#4
of 519 outputs
Outputs of similar age
#21,881
of 310,858 outputs
Outputs of similar age from Autonomous Robots
#1
of 6 outputs
Altmetric has tracked 22,959,818 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 519 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done particularly well, scoring higher than 99% 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 310,858 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 6 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