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Maximal Information Coefficient and Support Vector Regression Based Nonlinear Feature Selection and QSAR Modeling on Toxicity of Alcohol Compounds to Tadpoles of Rana temporaria

Overview of attention for article published in Journal of the Brazilian Chemical Society, January 2018
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Mentioned by

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1 Facebook page

Citations

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19 Dimensions

Readers on

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9 Mendeley
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Title
Maximal Information Coefficient and Support Vector Regression Based Nonlinear Feature Selection and QSAR Modeling on Toxicity of Alcohol Compounds to Tadpoles of Rana temporaria
Published in
Journal of the Brazilian Chemical Society, January 2018
DOI 10.21577/0103-5053.20180176
Authors

Lifeng Wang, Pengwei Xing, Cong Wang, Xiaomao Zhou, Zhijun Dai, Lianyang Bai

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 22%
Researcher 2 22%
Unspecified 1 11%
Other 1 11%
Unknown 3 33%
Readers by discipline Count As %
Environmental Science 2 22%
Unspecified 1 11%
Computer Science 1 11%
Agricultural and Biological Sciences 1 11%
Psychology 1 11%
Other 0 0%
Unknown 3 33%
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 11 September 2018.
All research outputs
#20,533,292
of 23,103,436 outputs
Outputs from Journal of the Brazilian Chemical Society
#543
of 1,783 outputs
Outputs of similar age
#378,563
of 442,715 outputs
Outputs of similar age from Journal of the Brazilian Chemical Society
#35
of 245 outputs
Altmetric has tracked 23,103,436 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,783 research outputs from this source. They receive a mean Attention Score of 1.1. This one is in the 1st percentile – i.e., 1% 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 442,715 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 245 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.