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Classification of heavy metal ions present in multi-frequency multi-electrode potable water data using evolutionary algorithm

Overview of attention for article published in Applied Water Science, December 2016
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Mentioned by

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1 X user

Readers on

mendeley
49 Mendeley
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Title
Classification of heavy metal ions present in multi-frequency multi-electrode potable water data using evolutionary algorithm
Published in
Applied Water Science, December 2016
DOI 10.1007/s13201-016-0514-0
Authors

Rashmi Karkra, Prashant Kumar, Baban K. S. Bansod, Sudeshna Bagchi, Pooja Sharma, C. Rama Krishna

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

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Student > Master 8 16%
Researcher 7 14%
Student > Bachelor 4 8%
Student > Postgraduate 2 4%
Other 4 8%
Unknown 11 22%
Readers by discipline Count As %
Engineering 11 22%
Agricultural and Biological Sciences 6 12%
Environmental Science 3 6%
Computer Science 3 6%
Physics and Astronomy 2 4%
Other 5 10%
Unknown 19 39%
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 27 December 2016.
All research outputs
#15,416,191
of 22,925,760 outputs
Outputs from Applied Water Science
#68
of 186 outputs
Outputs of similar age
#255,472
of 419,844 outputs
Outputs of similar age from Applied Water Science
#3
of 13 outputs
Altmetric has tracked 22,925,760 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 186 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 27th percentile – i.e., 27% 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 419,844 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.