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A high speed tri-vision system for automotive applications

Overview of attention for article published in European Transport Research Review, February 2010
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Mentioned by

patent
1 patent

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
25 Mendeley
Title
A high speed tri-vision system for automotive applications
Published in
European Transport Research Review, February 2010
DOI 10.1007/s12544-010-0025-2
Authors

Marc Anthony Azzopardi, Ivan Grech, Jacques Leconte

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 16%
Student > Ph. D. Student 4 16%
Student > Doctoral Student 3 12%
Student > Bachelor 3 12%
Student > Master 3 12%
Other 5 20%
Unknown 3 12%
Readers by discipline Count As %
Engineering 8 32%
Medicine and Dentistry 3 12%
Computer Science 3 12%
Agricultural and Biological Sciences 1 4%
Economics, Econometrics and Finance 1 4%
Other 5 20%
Unknown 4 16%
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 15 June 2022.
All research outputs
#7,414,160
of 22,668,244 outputs
Outputs from European Transport Research Review
#105
of 270 outputs
Outputs of similar age
#34,582
of 93,617 outputs
Outputs of similar age from European Transport Research Review
#1
of 1 outputs
Altmetric has tracked 22,668,244 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 270 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has gotten more attention than average, scoring higher than 52% 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 93,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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