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Application of gene expression programming, artificial neural network and multilinear regression in predicting hydrochar physicochemical properties

Overview of attention for article published in Bioresources and Bioprocessing, November 2020
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Mentioned by

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1 X user

Citations

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20 Dimensions

Readers on

mendeley
52 Mendeley
Title
Application of gene expression programming, artificial neural network and multilinear regression in predicting hydrochar physicochemical properties
Published in
Bioresources and Bioprocessing, November 2020
DOI 10.1186/s40643-020-00350-6
Authors

Jibril Abdulsalam, Abiodun Ismail Lawal, Ramadimetja Lizah Setsepu, Moshood Onifade, Samson Bada

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

Geographical breakdown

Country Count As %
Unknown 52 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Researcher 6 12%
Student > Master 5 10%
Lecturer 2 4%
Student > Doctoral Student 2 4%
Other 8 15%
Unknown 20 38%
Readers by discipline Count As %
Engineering 11 21%
Chemical Engineering 5 10%
Environmental Science 2 4%
Business, Management and Accounting 2 4%
Agricultural and Biological Sciences 2 4%
Other 6 12%
Unknown 24 46%
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 November 2020.
All research outputs
#15,656,702
of 23,267,128 outputs
Outputs from Bioresources and Bioprocessing
#59
of 128 outputs
Outputs of similar age
#306,617
of 509,398 outputs
Outputs of similar age from Bioresources and Bioprocessing
#2
of 7 outputs
Altmetric has tracked 23,267,128 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 128 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 40th percentile – i.e., 40% 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 509,398 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.