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Deep learning-based strategies for the detection and tracking of drones using several cameras

Overview of attention for article published in IPSJ Transactions on Computer Vision and Applications, July 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
38 Mendeley
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Title
Deep learning-based strategies for the detection and tracking of drones using several cameras
Published in
IPSJ Transactions on Computer Vision and Applications, July 2019
DOI 10.1186/s41074-019-0059-x
Authors

Eren Unlu, Emmanuel Zenou, Nicolas Riviere, Paul-Edouard Dupouy

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

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 24%
Student > Bachelor 6 16%
Student > Ph. D. Student 5 13%
Researcher 5 13%
Unspecified 2 5%
Other 4 11%
Unknown 7 18%
Readers by discipline Count As %
Engineering 11 29%
Computer Science 11 29%
Business, Management and Accounting 2 5%
Unspecified 2 5%
Agricultural and Biological Sciences 1 3%
Other 2 5%
Unknown 9 24%

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 21 September 2019.
All research outputs
#10,121,522
of 15,886,334 outputs
Outputs from IPSJ Transactions on Computer Vision and Applications
#20
of 22 outputs
Outputs of similar age
#161,284
of 270,981 outputs
Outputs of similar age from IPSJ Transactions on Computer Vision and Applications
#1
of 1 outputs
Altmetric has tracked 15,886,334 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one scored the same or higher as 2 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 270,981 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% 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