↓ Skip to main content

An automated solid waste detection using the optimized YOLO model for riverine management

Overview of attention for article published in Frontiers in Public Health, August 2022
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
55 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
An automated solid waste detection using the optimized YOLO model for riverine management
Published in
Frontiers in Public Health, August 2022
DOI 10.3389/fpubh.2022.907280
Pubmed ID
Authors

Nur Athirah Zailan, Muhammad Mokhzaini Azizan, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Uswah Khairuddin

Timeline

Login to access the full chart related to this output.

If you don’t have an account, click here to discover Explorer

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 4 7%
Unspecified 3 5%
Researcher 3 5%
Student > Bachelor 2 4%
Lecturer 2 4%
Other 3 5%
Unknown 38 69%
Readers by discipline Count As %
Computer Science 5 9%
Unspecified 3 5%
Engineering 3 5%
Social Sciences 2 4%
Energy 1 2%
Other 3 5%
Unknown 38 69%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 August 2022.
All research outputs
#15,948,614
of 24,273,038 outputs
Outputs from Frontiers in Public Health
#4,815
of 12,309 outputs
Outputs of similar age
#225,430
of 420,212 outputs
Outputs of similar age from Frontiers in Public Health
#403
of 1,297 outputs
Altmetric has tracked 24,273,038 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,309 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 420,212 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,297 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 63% of its contemporaries.