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Attention Score in Context
Title |
Detection of breakage and impurity ratios for raw sugarcane based on estimation model and MDSC-DeepLabv3+
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Published in |
Frontiers in Plant Science, November 2023
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DOI | 10.3389/fpls.2023.1283230 |
Pubmed ID | |
Authors |
Xin Li, Zhigang Zhang, Shengping Lv, Tairan Liang, Jianmin Zou, Taotao Ning, Chunyu Jiang |
X Demographics
Geographical breakdown
Country | Count | As % |
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Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
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 08 November 2023.
All research outputs
#22,199,198
of 24,771,057 outputs
Outputs from Frontiers in Plant Science
#18,957
of 23,621 outputs
Outputs of similar age
#135,250
of 170,410 outputs
Outputs of similar age from Frontiers in Plant Science
#297
of 436 outputs
Altmetric has tracked 24,771,057 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 23,621 research outputs from this source. They receive a mean Attention Score of 3.9. 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 170,410 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 436 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.