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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 (#1 of 310)
  • High Attention Score compared to outputs of the same age (93rd percentile)

Mentioned by

5 news outlets


12 Dimensions

Readers on

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

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

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 37 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 47%
Student > Master 4 11%
Other 3 8%
Student > Bachelor 3 8%
Researcher 3 8%
Other 4 11%
Unknown 3 8%
Readers by discipline Count As %
Engineering 14 37%
Computer Science 13 34%
Neuroscience 2 5%
Chemistry 1 3%
Earth and Planetary Sciences 1 3%
Other 0 0%
Unknown 7 18%

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
of 9,222,312 outputs
Outputs from Autonomous Robots
of 310 outputs
Outputs of similar age
of 279,353 outputs
Outputs of similar age from Autonomous Robots
of 3 outputs
Altmetric has tracked 9,222,312 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 310 research outputs from this source. They receive a mean Attention Score of 1.8. 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 279,353 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 93% of its contemporaries.
We're also able to compare this research output to 3 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