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An IoT-based smart mosquito trap system embedded with real-time mosquito image processing by neural networks for mosquito surveillance

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, January 2023
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

twitter
3 X users

Citations

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4 Dimensions

Readers on

mendeley
24 Mendeley
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Title
An IoT-based smart mosquito trap system embedded with real-time mosquito image processing by neural networks for mosquito surveillance
Published in
Frontiers in Bioengineering and Biotechnology, January 2023
DOI 10.3389/fbioe.2023.1100968
Pubmed ID
Authors

Wei-Liang Liu, Yuhling Wang, Yu-Xuan Chen, Bo-Yu Chen, Arvin Yi-Chu Lin, Sheng-Tong Dai, Chun-Hong Chen, Lun-De Liao

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Unspecified 3 13%
Student > Master 2 8%
Student > Ph. D. Student 1 4%
Lecturer 1 4%
Other 2 8%
Unknown 11 46%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 25%
Unspecified 3 13%
Biochemistry, Genetics and Molecular Biology 1 4%
Environmental Science 1 4%
Earth and Planetary Sciences 1 4%
Other 1 4%
Unknown 11 46%
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 06 February 2023.
All research outputs
#18,136,219
of 23,299,593 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#3,001
of 6,947 outputs
Outputs of similar age
#250,794
of 396,702 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#112
of 532 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,947 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 49th percentile – i.e., 49% 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 396,702 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 532 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.