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Enhancing unmanned ground vehicle performance in SAR operations: integrated gesture-control and deep learning framework for optimised victim detection

Overview of attention for article published in Frontiers in Robotics and AI, June 2024
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1 X user

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3 Mendeley
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Title
Enhancing unmanned ground vehicle performance in SAR operations: integrated gesture-control and deep learning framework for optimised victim detection
Published in
Frontiers in Robotics and AI, June 2024
DOI 10.3389/frobt.2024.1356345
Pubmed ID
Authors

Muhammad Hamza Zafar, Syed Kumayl Raza Moosavi, Filippo Sanfilippo

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 67%
Unknown 1 33%
Readers by discipline Count As %
Business, Management and Accounting 1 33%
Social Sciences 1 33%
Unknown 1 33%
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 29 June 2024.
All research outputs
#23,540,290
of 26,210,036 outputs
Outputs from Frontiers in Robotics and AI
#1,787
of 1,807 outputs
Outputs of similar age
#144,418
of 181,102 outputs
Outputs of similar age from Frontiers in Robotics and AI
#6
of 15 outputs
Altmetric has tracked 26,210,036 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,807 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% 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 181,102 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.