↓ Skip to main content

A novel method for predicting cadmium concentration in rice grain using genetic algorithm and back-propagation neural network based on soil properties

Overview of attention for article published in Environmental Science and Pollution Research, October 2018
Altmetric Badge

Mentioned by

facebook
2 Facebook pages

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
29 Mendeley
Title
A novel method for predicting cadmium concentration in rice grain using genetic algorithm and back-propagation neural network based on soil properties
Published in
Environmental Science and Pollution Research, October 2018
DOI 10.1007/s11356-018-3458-0
Pubmed ID
Authors

Yi Xuan Hou, Hua Fu Zhao, Zhuo Zhang, Ke Ning Wu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 10%
Student > Doctoral Student 3 10%
Student > Ph. D. Student 3 10%
Student > Master 3 10%
Other 2 7%
Other 4 14%
Unknown 11 38%
Readers by discipline Count As %
Environmental Science 6 21%
Agricultural and Biological Sciences 6 21%
Engineering 2 7%
Computer Science 2 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 0 0%
Unknown 12 41%
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 30 October 2018.
All research outputs
#19,440,618
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#5,443
of 9,883 outputs
Outputs of similar age
#273,390
of 353,711 outputs
Outputs of similar age from Environmental Science and Pollution Research
#114
of 214 outputs
Altmetric has tracked 23,911,072 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 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 29th percentile – i.e., 29% 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 353,711 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 214 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.