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JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems

Overview of attention for article published in Frontiers in Robotics and AI, December 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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
35 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Readers on

mendeley
279 Mendeley
citeulike
1 CiteULike
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Title
JIDT: An Information-Theoretic Toolkit for Studying the Dynamics of Complex Systems
Published in
Frontiers in Robotics and AI, December 2014
DOI 10.3389/frobt.2014.00011
Authors

Joseph T. Lizier

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 279 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
United Kingdom 4 1%
Germany 2 <1%
Canada 2 <1%
Chile 1 <1%
Bulgaria 1 <1%
Hungary 1 <1%
Venezuela, Bolivarian Republic of 1 <1%
Poland 1 <1%
Other 0 0%
Unknown 260 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 80 29%
Researcher 47 17%
Student > Master 44 16%
Student > Bachelor 26 9%
Student > Doctoral Student 16 6%
Other 31 11%
Unknown 35 13%
Readers by discipline Count As %
Engineering 55 20%
Computer Science 45 16%
Neuroscience 34 12%
Agricultural and Biological Sciences 28 10%
Physics and Astronomy 19 7%
Other 49 18%
Unknown 49 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 August 2020.
All research outputs
#1,525,197
of 23,607,611 outputs
Outputs from Frontiers in Robotics and AI
#99
of 1,572 outputs
Outputs of similar age
#21,707
of 364,643 outputs
Outputs of similar age from Frontiers in Robotics and AI
#1
of 7 outputs
Altmetric has tracked 23,607,611 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,572 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done particularly well, scoring higher than 93% 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 364,643 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 94% of its contemporaries.
We're also able to compare this research output to 7 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