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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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Mentioned by

twitter
2 tweeters

Citations

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5 Dimensions

Readers on

mendeley
19 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
Authors

Ying Zhang, Jianjun Du, Jinglu Wang, Liming Ma, Xianju Lu, Xiaodi Pan, Xinyu Guo, Chunjiang Zhao

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Student > Bachelor 1 5%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Other 5 26%
Unknown 4 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 42%
Biochemistry, Genetics and Molecular Biology 4 21%
Social Sciences 1 5%
Neuroscience 1 5%
Engineering 1 5%
Other 0 0%
Unknown 4 21%

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
#8,595,481
of 13,698,878 outputs
Outputs from Biological Research
#180
of 370 outputs
Outputs of similar age
#189,726
of 309,471 outputs
Outputs of similar age from Biological Research
#38
of 55 outputs
Altmetric has tracked 13,698,878 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 370 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 36th percentile – i.e., 36% 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 309,471 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.