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High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (Zea mays L.)

Overview of attention for article published in Biological Research, October 2018
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2 X users

Citations

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20 Dimensions

Readers on

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26 Mendeley
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Title
High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (Zea mays L.)
Published in
Biological Research, October 2018
DOI 10.1186/s40659-018-0190-7
Pubmed ID
Authors

Ying Zhang, Jianjun Du, Jinglu Wang, Liming Ma, Xianju Lu, Xiaodi Pan, Xinyu Guo, Chunjiang 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 27%
Student > Master 3 12%
Other 1 4%
Student > Doctoral Student 1 4%
Student > Bachelor 1 4%
Other 5 19%
Unknown 8 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 38%
Biochemistry, Genetics and Molecular Biology 4 15%
Unspecified 1 4%
Physics and Astronomy 1 4%
Neuroscience 1 4%
Other 1 4%
Unknown 8 31%
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 27 October 2018.
All research outputs
#17,292,294
of 25,385,509 outputs
Outputs from Biological Research
#326
of 642 outputs
Outputs of similar age
#232,791
of 361,645 outputs
Outputs of similar age from Biological Research
#18
of 23 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 642 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 35th percentile – i.e., 35% 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 361,645 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.