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Prediction of intent in robotics and multi-agent systems

Overview of attention for article published in Cognitive Processing, May 2007
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Mentioned by

patent
1 patent

Readers on

mendeley
196 Mendeley
citeulike
4 CiteULike
connotea
1 Connotea
Title
Prediction of intent in robotics and multi-agent systems
Published in
Cognitive Processing, May 2007
DOI 10.1007/s10339-007-0168-9
Pubmed ID
Authors

Yiannis Demiris

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 3%
Germany 4 2%
United States 2 1%
Italy 2 1%
Spain 2 1%
France 1 <1%
Norway 1 <1%
Iran, Islamic Republic of 1 <1%
Portugal 1 <1%
Other 2 1%
Unknown 175 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 67 34%
Researcher 31 16%
Student > Master 26 13%
Student > Bachelor 12 6%
Professor 11 6%
Other 31 16%
Unknown 18 9%
Readers by discipline Count As %
Computer Science 77 39%
Engineering 66 34%
Psychology 9 5%
Neuroscience 4 2%
Business, Management and Accounting 3 2%
Other 14 7%
Unknown 23 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 17 February 2015.
All research outputs
#8,543,833
of 25,394,764 outputs
Outputs from Cognitive Processing
#116
of 354 outputs
Outputs of similar age
#30,544
of 86,733 outputs
Outputs of similar age from Cognitive Processing
#4
of 5 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 354 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has gotten more attention than average, scoring higher than 61% 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 86,733 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.