↓ Skip to main content

An improved YOLOv7 model based on Swin Transformer and Trident Pyramid Networks for accurate tomato detection

Overview of attention for article published in Frontiers in Plant Science, September 2024
Altmetric Badge

Mentioned by

twitter
1 X user
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 YOLOv7 model based on Swin Transformer and Trident Pyramid Networks for accurate tomato detection
Published in
Frontiers in Plant Science, September 2024
DOI 10.3389/fpls.2024.1452821
Authors

Guoxu Liu, Yonghui Zhang, Jun Liu, Deyong Liu, Chunlei Chen, Yujie Li, Xiujie Zhang, Philippe Lyonel Touko Mbouembe

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 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.
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 27 September 2024.
All research outputs
#23,854,367
of 26,571,932 outputs
Outputs from Frontiers in Plant Science
#20,375
of 25,376 outputs
Outputs of similar age
#100,987
of 129,661 outputs
Outputs of similar age from Frontiers in Plant Science
#46
of 90 outputs
Altmetric has tracked 26,571,932 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 25,376 research outputs from this source. They receive a mean Attention Score of 4.0. 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 129,661 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 90 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.