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Hybrid DE optimised kernel SVR–relied techniques to forecast the outlet turbidity and outlet dissolved oxygen in distinct filtration media and micro-irrigation filters

Overview of attention for article published in Biosystems Engineering, July 2024
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)

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2 X users

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1 Mendeley
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Title
Hybrid DE optimised kernel SVR–relied techniques to forecast the outlet turbidity and outlet dissolved oxygen in distinct filtration media and micro-irrigation filters
Published in
Biosystems Engineering, July 2024
DOI 10.1016/j.biosystemseng.2024.04.020
Authors

Paulino José García–Nieto, Esperanza García–Gonzalo, Gerard Arbat, Miquel Duran–Ros, Toni Pujol, Jaume Puig–Bargués

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 May 2024.
All research outputs
#15,874,785
of 25,914,360 outputs
Outputs from Biosystems Engineering
#485
of 733 outputs
Outputs of similar age
#3,629
of 8,645 outputs
Outputs of similar age from Biosystems Engineering
#1
of 2 outputs
Altmetric has tracked 25,914,360 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 733 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 32nd percentile – i.e., 32% 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 8,645 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 55% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them