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Real-time hardware–software embedded vision system for ITS smart camera implemented in Zynq SoC

Overview of attention for article published in Journal of Real-Time Image Processing, May 2016
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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22 Dimensions

Readers on

mendeley
58 Mendeley
Title
Real-time hardware–software embedded vision system for ITS smart camera implemented in Zynq SoC
Published in
Journal of Real-Time Image Processing, May 2016
DOI 10.1007/s11554-016-0588-9
Authors

Tomasz Kryjak, Mateusz Komorkiewicz, Marek Gorgon

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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 57 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 14%
Student > Ph. D. Student 7 12%
Student > Doctoral Student 5 9%
Professor 5 9%
Lecturer 4 7%
Other 8 14%
Unknown 21 36%
Readers by discipline Count As %
Computer Science 18 31%
Engineering 16 28%
Social Sciences 1 2%
Business, Management and Accounting 1 2%
Materials Science 1 2%
Other 1 2%
Unknown 20 34%
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 May 2016.
All research outputs
#15,372,369
of 22,869,263 outputs
Outputs from Journal of Real-Time Image Processing
#99
of 128 outputs
Outputs of similar age
#179,279
of 298,976 outputs
Outputs of similar age from Journal of Real-Time Image Processing
#5
of 7 outputs
Altmetric has tracked 22,869,263 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 128 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 13th percentile – i.e., 13% 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 298,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.