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Editorial: Novel Technological and Methodological Tools for the Understanding of Collective Behaviors

Overview of attention for article published in Frontiers in Robotics and AI, December 2019
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Mentioned by

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2 X users

Citations

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1 Dimensions

Readers on

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20 Mendeley
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Title
Editorial: Novel Technological and Methodological Tools for the Understanding of Collective Behaviors
Published in
Frontiers in Robotics and AI, December 2019
DOI 10.3389/frobt.2019.00139
Pubmed ID
Authors

Elio Tuci, Vito Trianni, Andrew King, Simon Garnier

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Professor > Associate Professor 3 15%
Researcher 3 15%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Other 2 10%
Unknown 4 20%
Readers by discipline Count As %
Computer Science 4 20%
Agricultural and Biological Sciences 3 15%
Engineering 3 15%
Environmental Science 2 10%
Business, Management and Accounting 1 5%
Other 4 20%
Unknown 3 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 December 2019.
All research outputs
#18,041,836
of 23,179,757 outputs
Outputs from Frontiers in Robotics and AI
#1,158
of 1,529 outputs
Outputs of similar age
#318,058
of 459,260 outputs
Outputs of similar age from Frontiers in Robotics and AI
#37
of 53 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,529 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one is in the 13th percentile – i.e., 13% 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 459,260 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.