↓ Skip to main content

Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen…

Overview of attention for article published in Environmental Earth Sciences, July 2017
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
1 X user

Citations

dimensions_citation
97 Dimensions

Readers on

mendeley
61 Mendeley
Title
Uncertainty assessment of the multilayer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River
Published in
Environmental Earth Sciences, July 2017
DOI 10.1007/s12665-017-6842-z
Authors

Bahare Raheli, Mohammad Taghi Aalami, Ahmed El-Shafie, Mohammad Ali Ghorbani, Ravinesh C. Deo

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

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 10%
Lecturer 5 8%
Researcher 5 8%
Student > Bachelor 5 8%
Student > Master 5 8%
Other 13 21%
Unknown 22 36%
Readers by discipline Count As %
Engineering 18 30%
Computer Science 8 13%
Environmental Science 4 7%
Mathematics 1 2%
Business, Management and Accounting 1 2%
Other 2 3%
Unknown 27 44%
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 July 2017.
All research outputs
#18,565,641
of 22,994,508 outputs
Outputs from Environmental Earth Sciences
#743
of 1,782 outputs
Outputs of similar age
#242,997
of 316,999 outputs
Outputs of similar age from Environmental Earth Sciences
#22
of 120 outputs
Altmetric has tracked 22,994,508 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 1,782 research outputs from this source. They receive a mean Attention Score of 1.7. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 316,999 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 120 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.