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A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy

Overview of attention for article published in Plant Methods, July 2021
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Mentioned by

twitter
2 tweeters

Citations

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3 Dimensions

Readers on

mendeley
14 Mendeley
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Title
A systematic high-throughput phenotyping assay for sugarcane stalk quality characterization by near-infrared spectroscopy
Published in
Plant Methods, July 2021
DOI 10.1186/s13007-021-00777-8
Pubmed ID
Authors

Maoyao Wang, Xinru Li, Yinjuan Shen, Muhammad Adnan, Le Mao, Pan Lu, Qian Hu, Fuhong Jiang, Muhammad Tahir Khan, Zuhu Deng, Baoshan Chen, Jiangfeng Huang, Muqing Zhang

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Student > Ph. D. Student 2 14%
Student > Master 2 14%
Student > Doctoral Student 1 7%
Unknown 6 43%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 36%
Biochemistry, Genetics and Molecular Biology 2 14%
Chemical Engineering 1 7%
Computer Science 1 7%
Engineering 1 7%
Other 0 0%
Unknown 4 29%

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 26 August 2021.
All research outputs
#17,696,182
of 21,892,038 outputs
Outputs from Plant Methods
#928
of 1,042 outputs
Outputs of similar age
#246,292
of 338,804 outputs
Outputs of similar age from Plant Methods
#1
of 1 outputs
Altmetric has tracked 21,892,038 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 1,042 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 3rd percentile – i.e., 3% 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 338,804 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them