↓ Skip to main content

An improved automated diatom detection method based on YOLOv5 framework and its preliminary study for taxonomy recognition in the forensic diatom test

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

Mentioned by

twitter
1 X user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
7 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 improved automated diatom detection method based on YOLOv5 framework and its preliminary study for taxonomy recognition in the forensic diatom test
Published in
Frontiers in Microbiology, August 2022
DOI 10.3389/fmicb.2022.963059
Pubmed ID
Authors

Weimin Yu, Qingqing Xiang, Yingchao Hu, Yukun Du, Xiaodong Kang, Dongyun Zheng, He Shi, Quyi Xu, Zhigang Li, Yong Niu, Chao Liu, Jian Zhao

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

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 14%
Student > Ph. D. Student 1 14%
Other 1 14%
Unknown 4 57%
Readers by discipline Count As %
Unspecified 1 14%
Agricultural and Biological Sciences 1 14%
Medicine and Dentistry 1 14%
Unknown 4 57%
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 14 May 2023.
All research outputs
#20,747,586
of 23,347,114 outputs
Outputs from Frontiers in Microbiology
#23,259
of 25,691 outputs
Outputs of similar age
#346,144
of 436,028 outputs
Outputs of similar age from Frontiers in Microbiology
#1,216
of 1,299 outputs
Altmetric has tracked 23,347,114 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 25,691 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. 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 436,028 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 1,299 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.