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Prediction of Drought-Resistant Genes in Arabidopsis thaliana Using SVM-RFE

Overview of attention for article published in PLOS ONE, July 2011
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1 X user

Citations

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46 Dimensions

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86 Mendeley
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Title
Prediction of Drought-Resistant Genes in Arabidopsis thaliana Using SVM-RFE
Published in
PLOS ONE, July 2011
DOI 10.1371/journal.pone.0021750
Pubmed ID
Authors

Yanchun Liang, Fan Zhang, Juexin Wang, Trupti Joshi, Yan Wang, Dong Xu

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

Geographical breakdown

Country Count As %
Colombia 1 1%
India 1 1%
United Kingdom 1 1%
Canada 1 1%
United States 1 1%
Unknown 81 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 29%
Researcher 20 23%
Student > Bachelor 7 8%
Other 5 6%
Student > Postgraduate 5 6%
Other 10 12%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 45 52%
Biochemistry, Genetics and Molecular Biology 13 15%
Computer Science 4 5%
Engineering 3 3%
Environmental Science 2 2%
Other 2 2%
Unknown 17 20%
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 16 July 2011.
All research outputs
#15,675,797
of 23,294,050 outputs
Outputs from PLOS ONE
#135,103
of 199,063 outputs
Outputs of similar age
#85,472
of 118,398 outputs
Outputs of similar age from PLOS ONE
#1,428
of 2,171 outputs
Altmetric has tracked 23,294,050 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 199,063 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one is in the 23rd percentile – i.e., 23% 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 118,398 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 2,171 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.