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A model-driven approach for real-time road recognition

Overview of attention for article published in Machine Vision and Applications, November 2001
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Mentioned by

patent
30 patents

Citations

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87 Dimensions

Readers on

mendeley
27 Mendeley
Title
A model-driven approach for real-time road recognition
Published in
Machine Vision and Applications, November 2001
DOI 10.1007/pl00013275
Authors

Romuald Aufrère, Roland Chapuis, Frédéric Chausse

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
China 1 4%
Ireland 1 4%
Unknown 24 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 37%
Student > Master 6 22%
Student > Bachelor 3 11%
Researcher 2 7%
Professor > Associate Professor 2 7%
Other 2 7%
Unknown 2 7%
Readers by discipline Count As %
Engineering 13 48%
Computer Science 12 44%
Unknown 2 7%
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 09 April 2024.
All research outputs
#8,533,995
of 25,371,288 outputs
Outputs from Machine Vision and Applications
#175
of 599 outputs
Outputs of similar age
#15,660
of 45,942 outputs
Outputs of similar age from Machine Vision and Applications
#2
of 2 outputs
Altmetric has tracked 25,371,288 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 599 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 40th percentile – i.e., 40% 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 45,942 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% 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.