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Rice seed vigor detection based on near-infrared hyperspectral imaging and deep transfer learning

Overview of attention for article published in Frontiers in Plant Science, October 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
2 Mendeley
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Title
Rice seed vigor detection based on near-infrared hyperspectral imaging and deep transfer learning
Published in
Frontiers in Plant Science, October 2023
DOI 10.3389/fpls.2023.1283921
Pubmed ID
Authors

Hengnian Qi, Zihong Huang, Zeyu Sun, Qizhe Tang, Guangwu Zhao, Xuhua Zhu, Chu Zhang

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 %
Lecturer 1 50%
Student > Master 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Agricultural and Biological Sciences 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 23 October 2023.
All research outputs
#20,066,854
of 24,664,952 outputs
Outputs from Frontiers in Plant Science
#15,907
of 23,455 outputs
Outputs of similar age
#106,503
of 157,901 outputs
Outputs of similar age from Frontiers in Plant Science
#160
of 448 outputs
Altmetric has tracked 24,664,952 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 23,455 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 19th percentile – i.e., 19% 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 157,901 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 448 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.