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A generative framework for fast urban labeling using spatial and temporal context

Overview of attention for article published in Autonomous Robots, March 2009
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Mentioned by

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1 patent

Citations

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52 Dimensions

Readers on

mendeley
74 Mendeley
Title
A generative framework for fast urban labeling using spatial and temporal context
Published in
Autonomous Robots, March 2009
DOI 10.1007/s10514-009-9110-6
Authors

Ingmar Posner, Mark Cummins, Paul Newman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 11%
Brazil 2 3%
Germany 1 1%
Japan 1 1%
Russia 1 1%
Unknown 61 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 38%
Student > Master 13 18%
Researcher 8 11%
Professor > Associate Professor 7 9%
Student > Bachelor 5 7%
Other 8 11%
Unknown 5 7%
Readers by discipline Count As %
Computer Science 38 51%
Engineering 22 30%
Agricultural and Biological Sciences 2 3%
Social Sciences 2 3%
Earth and Planetary Sciences 1 1%
Other 3 4%
Unknown 6 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 03 November 2015.
All research outputs
#7,850,366
of 23,804,991 outputs
Outputs from Autonomous Robots
#140
of 533 outputs
Outputs of similar age
#38,929
of 109,484 outputs
Outputs of similar age from Autonomous Robots
#2
of 3 outputs
Altmetric has tracked 23,804,991 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 533 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 51% 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 109,484 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
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.