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Deep Learning Semantic Segmentation for Water Level Estimation Using Surveillance Camera

Overview of attention for article published in Applied Sciences, October 2021
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Mentioned by

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1 X user

Citations

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29 Dimensions

Readers on

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48 Mendeley
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Title
Deep Learning Semantic Segmentation for Water Level Estimation Using Surveillance Camera
Published in
Applied Sciences, October 2021
DOI 10.3390/app11209691
Authors

Nur Atirah Muhadi, Ahmad Fikri Abdullah, Siti Khairunniza Bejo, Muhammad Razif Mahadi, Ana Mijic

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

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 10%
Unspecified 4 8%
Lecturer 4 8%
Student > Ph. D. Student 4 8%
Student > Master 3 6%
Other 7 15%
Unknown 21 44%
Readers by discipline Count As %
Engineering 8 17%
Unspecified 4 8%
Computer Science 4 8%
Agricultural and Biological Sciences 3 6%
Earth and Planetary Sciences 2 4%
Other 4 8%
Unknown 23 48%
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 20 October 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Applied Sciences
#7,765
of 10,132 outputs
Outputs of similar age
#361,356
of 439,396 outputs
Outputs of similar age from Applied Sciences
#478
of 701 outputs
Altmetric has tracked 23,310,485 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 10,132 research outputs from this source. They receive a mean Attention Score of 2.2. 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 439,396 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 701 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.