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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

twitter
1 tweeter

Citations

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19 Dimensions

Readers on

mendeley
40 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

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 30%
Student > Master 6 15%
Student > Bachelor 5 13%
Researcher 4 10%
Professor 3 8%
Other 4 10%
Unknown 6 15%
Readers by discipline Count As %
Computer Science 14 35%
Engineering 13 33%
Earth and Planetary Sciences 2 5%
Economics, Econometrics and Finance 1 3%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 8 20%

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
#4,833,451
of 6,535,344 outputs
Outputs from Visualization in Engineering
#5
of 6 outputs
Outputs of similar age
#144,539
of 210,546 outputs
Outputs of similar age from Visualization in Engineering
#2
of 2 outputs
Altmetric has tracked 6,535,344 research outputs across all sources so far. This one is in the 14th percentile – i.e., 14% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one scored the same or higher as 1 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 210,546 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% 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.