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Detection, classification, and mapping of U.S. traffic signs using google street view images for roadway inventory management

Overview of attention for article published in Visualization in Engineering, November 2015
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Mentioned by

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1 X user

Citations

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59 Dimensions

Readers on

mendeley
87 Mendeley
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Title
Detection, classification, and mapping of U.S. traffic signs using google street view images for roadway inventory management
Published in
Visualization in Engineering, November 2015
DOI 10.1186/s40327-015-0027-1
Authors

Vahid Balali, Armin Ashouri Rad, Mani Golparvar-Fard

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Student > Master 15 17%
Student > Bachelor 10 11%
Researcher 7 8%
Professor 4 5%
Other 8 9%
Unknown 26 30%
Readers by discipline Count As %
Engineering 26 30%
Computer Science 16 18%
Earth and Planetary Sciences 2 2%
Agricultural and Biological Sciences 2 2%
Social Sciences 2 2%
Other 7 8%
Unknown 32 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 November 2015.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from Visualization in Engineering
#31
of 40 outputs
Outputs of similar age
#221,620
of 300,136 outputs
Outputs of similar age from Visualization in Engineering
#2
of 2 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 40 research outputs from this source. They receive a mean Attention Score of 3.9. This one scored the same or higher as 9 of them.
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 300,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% 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.