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Review on Type of Sensors and Detection Method of Anti-Collision System of Unmanned Aerial Vehicle

Overview of attention for article published in Sensors, July 2023
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

peer_reviews
1 peer review site

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
29 Mendeley
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Title
Review on Type of Sensors and Detection Method of Anti-Collision System of Unmanned Aerial Vehicle
Published in
Sensors, July 2023
DOI 10.3390/s23156810
Pubmed ID
Authors

Navaneetha Krishna Chandran, Mohammed Thariq Hameed Sultan, Andrzej Łukaszewicz, Farah Syazwani Shahar, Andriy Holovatyy, Wojciech Giernacki

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 10%
Lecturer 2 7%
Researcher 2 7%
Student > Bachelor 2 7%
Student > Doctoral Student 1 3%
Other 2 7%
Unknown 17 59%
Readers by discipline Count As %
Engineering 8 28%
Nursing and Health Professions 1 3%
Social Sciences 1 3%
Computer Science 1 3%
Unknown 18 62%
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 19 July 2023.
All research outputs
#17,301,727
of 25,394,764 outputs
Outputs from Sensors
#10,816
of 24,326 outputs
Outputs of similar age
#202,706
of 359,137 outputs
Outputs of similar age from Sensors
#114
of 365 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,326 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 45th percentile – i.e., 45% 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 359,137 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 365 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.