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Mathematical Modeling and Optimization Studies by Artificial Neural Network, Genetic Algorithm and Response Surface Methodology: A Case of Ferric Sulfate–Catalyzed Esterification of Neem (Azadirachta…

Overview of attention for article published in Frontiers in Energy Research, November 2020
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Mentioned by

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1 X user

Citations

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23 Dimensions

Readers on

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41 Mendeley
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Title
Mathematical Modeling and Optimization Studies by Artificial Neural Network, Genetic Algorithm and Response Surface Methodology: A Case of Ferric Sulfate–Catalyzed Esterification of Neem (Azadirachta indica) Seed Oil
Published in
Frontiers in Energy Research, November 2020
DOI 10.3389/fenrg.2020.614621
Authors

Kelechi E. Okpalaeke, Taiwo H. Ibrahim, Lekan M. Latinwo, Eriola Betiku

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 4 10%
Other 3 7%
Student > Master 2 5%
Student > Bachelor 2 5%
Other 4 10%
Unknown 16 39%
Readers by discipline Count As %
Chemical Engineering 5 12%
Engineering 5 12%
Economics, Econometrics and Finance 5 12%
Chemistry 4 10%
Agricultural and Biological Sciences 2 5%
Other 3 7%
Unknown 17 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 27 November 2020.
All research outputs
#20,669,023
of 23,267,128 outputs
Outputs from Frontiers in Energy Research
#1,319
of 3,425 outputs
Outputs of similar age
#433,172
of 509,028 outputs
Outputs of similar age from Frontiers in Energy Research
#33
of 102 outputs
Altmetric has tracked 23,267,128 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 3,425 research outputs from this source. They receive a mean Attention Score of 1.7. 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 509,028 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 102 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.