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Application of Box–Behnken factorial design for parameters optimization of basic dye removal using nano-hematite photo-Fenton tool

Overview of attention for article published in Applied Water Science, August 2018
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Mentioned by

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1 X user

Citations

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34 Dimensions

Readers on

mendeley
65 Mendeley
Title
Application of Box–Behnken factorial design for parameters optimization of basic dye removal using nano-hematite photo-Fenton tool
Published in
Applied Water Science, August 2018
DOI 10.1007/s13201-018-0783-x
Authors

Aghareed M. Tayeb, Maha A. Tony, Shehab A. Mansour

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

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 23%
Student > Master 8 12%
Student > Doctoral Student 8 12%
Student > Bachelor 4 6%
Researcher 3 5%
Other 9 14%
Unknown 18 28%
Readers by discipline Count As %
Engineering 9 14%
Chemical Engineering 7 11%
Agricultural and Biological Sciences 7 11%
Chemistry 7 11%
Environmental Science 4 6%
Other 8 12%
Unknown 23 35%
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 26 June 2019.
All research outputs
#18,684,896
of 23,151,189 outputs
Outputs from Applied Water Science
#144
of 194 outputs
Outputs of similar age
#254,836
of 331,228 outputs
Outputs of similar age from Applied Water Science
#9
of 10 outputs
Altmetric has tracked 23,151,189 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 15th percentile – i.e., 15% 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 331,228 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 10 others from the same source and published within six weeks on either side of this one.