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Modeling Analysis on Germination and Seedling Growth Using Ultrasound Seed Pretreatment in Switchgrass

Overview of attention for article published in PLOS ONE, October 2012
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Mentioned by

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1 X user

Citations

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34 Dimensions

Readers on

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60 Mendeley
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Title
Modeling Analysis on Germination and Seedling Growth Using Ultrasound Seed Pretreatment in Switchgrass
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047204
Pubmed ID
Authors

Quanzhen Wang, Guo Chen, Hayixia Yersaiyiti, Yuan Liu, Jian Cui, Chunhui Wu, Yunwei Zhang, Xueqing He

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 23%
Researcher 6 10%
Student > Master 5 8%
Student > Bachelor 4 7%
Lecturer 3 5%
Other 12 20%
Unknown 16 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 47%
Engineering 5 8%
Biochemistry, Genetics and Molecular Biology 2 3%
Mathematics 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 5 8%
Unknown 18 30%
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 12 November 2016.
All research outputs
#19,402,144
of 23,870,022 outputs
Outputs from PLOS ONE
#165,366
of 205,178 outputs
Outputs of similar age
#133,326
of 174,692 outputs
Outputs of similar age from PLOS ONE
#3,469
of 4,571 outputs
Altmetric has tracked 23,870,022 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 205,178 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one is in the 10th percentile – i.e., 10% 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 174,692 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,571 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.