↓ Skip to main content

Operating a reservoir system based on the shark machine learning algorithm

Overview of attention for article published in Environmental Earth Sciences, May 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
35 Mendeley
Title
Operating a reservoir system based on the shark machine learning algorithm
Published in
Environmental Earth Sciences, May 2018
DOI 10.1007/s12665-018-7546-8
Authors

Mohammed Falah Allawi, Othman Jaafar, Firdaus Mohamad Hamzah, Mohammad Ehteram, Md. Shabbir Hossain, Ahmed El-Shafie

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

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 20%
Student > Master 5 14%
Lecturer > Senior Lecturer 3 9%
Other 2 6%
Professor 2 6%
Other 4 11%
Unknown 12 34%
Readers by discipline Count As %
Engineering 10 29%
Computer Science 3 9%
Environmental Science 1 3%
Earth and Planetary Sciences 1 3%
Arts and Humanities 1 3%
Other 0 0%
Unknown 19 54%
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 14 May 2018.
All research outputs
#18,610,081
of 23,052,509 outputs
Outputs from Environmental Earth Sciences
#742
of 1,780 outputs
Outputs of similar age
#253,050
of 326,851 outputs
Outputs of similar age from Environmental Earth Sciences
#13
of 23 outputs
Altmetric has tracked 23,052,509 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 1,780 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 326,851 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 23 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.