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Bayesian Robot Programming

Overview of attention for article published in Autonomous Robots, January 2004
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Mentioned by

wikipedia
3 Wikipedia pages

Citations

dimensions_citation
91 Dimensions

Readers on

mendeley
103 Mendeley
citeulike
1 CiteULike
Title
Bayesian Robot Programming
Published in
Autonomous Robots, January 2004
DOI 10.1023/b:auro.0000008671.38949.43
Authors

Olivier Lebeltel, Pierre Bessière, Julien Diard, Emmanuel Mazer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 3%
Portugal 2 2%
Spain 2 2%
Germany 1 <1%
Norway 1 <1%
Italy 1 <1%
Austria 1 <1%
Australia 1 <1%
Ireland 1 <1%
Other 4 4%
Unknown 86 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 37%
Researcher 15 15%
Student > Master 12 12%
Professor > Associate Professor 7 7%
Professor 6 6%
Other 18 17%
Unknown 7 7%
Readers by discipline Count As %
Computer Science 45 44%
Engineering 35 34%
Psychology 4 4%
Agricultural and Biological Sciences 3 3%
Social Sciences 2 2%
Other 6 6%
Unknown 8 8%
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 04 March 2016.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Autonomous Robots
#156
of 562 outputs
Outputs of similar age
#36,570
of 143,821 outputs
Outputs of similar age from Autonomous Robots
#2
of 2 outputs
Altmetric has tracked 25,374,647 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 562 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 48th percentile – i.e., 48% 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 143,821 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.