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Performance analysis of the water quality index model for predicting water state using machine learning techniques

Overview of attention for article published in Process Safety & Environmental Protection: Transactions of the Institution of Chemical Engineers Part B, January 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
98 Dimensions

Readers on

mendeley
168 Mendeley
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Title
Performance analysis of the water quality index model for predicting water state using machine learning techniques
Published in
Process Safety & Environmental Protection: Transactions of the Institution of Chemical Engineers Part B, January 2023
DOI 10.1016/j.psep.2022.11.073
Authors

Galal Uddin, Stephen Nash, Azizur Rahman, Agnieszka I. Olbert

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users 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 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 168 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 8%
Student > Master 12 7%
Unspecified 11 7%
Student > Ph. D. Student 9 5%
Student > Bachelor 7 4%
Other 18 11%
Unknown 98 58%
Readers by discipline Count As %
Engineering 19 11%
Unspecified 13 8%
Environmental Science 10 6%
Computer Science 9 5%
Earth and Planetary Sciences 6 4%
Other 9 5%
Unknown 102 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 15 December 2023.
All research outputs
#6,699,548
of 26,179,695 outputs
Outputs from Process Safety & Environmental Protection: Transactions of the Institution of Chemical Engineers Part B
#124
of 1,628 outputs
Outputs of similar age
#122,713
of 487,415 outputs
Outputs of similar age from Process Safety & Environmental Protection: Transactions of the Institution of Chemical Engineers Part B
#3
of 286 outputs
Altmetric has tracked 26,179,695 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,628 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done particularly well, scoring higher than 92% 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 487,415 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 286 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.