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A Novel Hybrid Algorithms for Groundwater Level Prediction

Overview of attention for article published in Iranian Journal of Science and Technology, Transactions of Civil Engineering, March 2023
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  • Average Attention Score compared to outputs of the same age

Mentioned by

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1 X user

Citations

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8 Dimensions

Readers on

mendeley
13 Mendeley
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Title
A Novel Hybrid Algorithms for Groundwater Level Prediction
Published in
Iranian Journal of Science and Technology, Transactions of Civil Engineering, March 2023
DOI 10.1007/s40996-023-01068-z
Authors

Mohsen Saroughi, Ehsan Mirzania, Dinesh Kumar Vishwakarma, Shreya Nivesh, Kanhu Charaan Panda, Farnoosh Aghaee Daneshvar

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Student > Master 2 15%
Researcher 1 8%
Unknown 8 62%
Readers by discipline Count As %
Mathematics 1 8%
Computer Science 1 8%
Agricultural and Biological Sciences 1 8%
Engineering 1 8%
Unknown 9 69%
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 09 March 2023.
All research outputs
#16,291,311
of 23,999,200 outputs
Outputs from Iranian Journal of Science and Technology, Transactions of Civil Engineering
#8
of 17 outputs
Outputs of similar age
#234,859
of 406,807 outputs
Outputs of similar age from Iranian Journal of Science and Technology, Transactions of Civil Engineering
#1
of 2 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 17 research outputs from this source. They receive a mean Attention Score of 2.1. This one scored the same or higher as 9 of them.
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 406,807 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
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