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ASFL-YOLOX: an adaptive spatial feature fusion and lightweight detection method for insect pests of the Papilionidae family

Overview of attention for article published in Frontiers in Plant Science, June 2023
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Mentioned by

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2 X users

Citations

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2 Dimensions

Readers on

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2 Mendeley
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Title
ASFL-YOLOX: an adaptive spatial feature fusion and lightweight detection method for insect pests of the Papilionidae family
Published in
Frontiers in Plant Science, June 2023
DOI 10.3389/fpls.2023.1176300
Pubmed ID
Authors

Lijia Xu, Xiaoshi Shi, Zuoliang Tang, Yong He, Ning Yang, Wei Ma, Chengyu Zheng, Huabao Chen, Taigang Zhou, Peng Huang, Zhijun Wu, Yuchao Wang, Zhiyong Zou, Zhiliang Kang, Jianwu Dai, Yongpeng Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Unknown 1 50%
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 15 June 2023.
All research outputs
#19,618,314
of 24,988,543 outputs
Outputs from Frontiers in Plant Science
#14,063
of 23,944 outputs
Outputs of similar age
#250,838
of 364,305 outputs
Outputs of similar age from Frontiers in Plant Science
#427
of 908 outputs
Altmetric has tracked 24,988,543 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,944 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 32nd percentile – i.e., 32% 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 364,305 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 908 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.