↓ Skip to main content

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
Altmetric Badge

Mentioned by

twitter
2 X users

Readers on

mendeley
23 Mendeley
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
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

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 profiles of 2 X users 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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Master 3 13%
Professor 1 4%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 1 4%
Unknown 12 52%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 30%
Biochemistry, Genetics and Molecular Biology 2 9%
Chemical Engineering 1 4%
Computer Science 1 4%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 10 43%
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 26 August 2021.
All research outputs
#18,807,229
of 23,308,124 outputs
Outputs from Plant Methods
#974
of 1,104 outputs
Outputs of similar age
#314,351
of 436,029 outputs
Outputs of similar age from Plant Methods
#32
of 37 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,104 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. 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 436,029 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 37 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.