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Integrating kernel support vector machines for efficient rock facies classification in the main pay of Zubair formation in South Rumaila oil field, Iraq

Overview of attention for article published in Modeling Earth Systems and Environment, February 2017
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Mentioned by

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1 Facebook page

Citations

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32 Dimensions

Readers on

mendeley
19 Mendeley
Title
Integrating kernel support vector machines for efficient rock facies classification in the main pay of Zubair formation in South Rumaila oil field, Iraq
Published in
Modeling Earth Systems and Environment, February 2017
DOI 10.1007/s40808-017-0277-0
Authors

Watheq J. Al-Mudhafar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Bachelor 1 5%
Lecturer 1 5%
Professor 1 5%
Student > Master 1 5%
Other 0 0%
Unknown 11 58%
Readers by discipline Count As %
Engineering 5 26%
Energy 1 5%
Earth and Planetary Sciences 1 5%
Unknown 12 63%
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 11 February 2017.
All research outputs
#20,921,589
of 23,552,911 outputs
Outputs from Modeling Earth Systems and Environment
#1
of 1 outputs
Outputs of similar age
#358,680
of 423,040 outputs
Outputs of similar age from Modeling Earth Systems and Environment
#1
of 1 outputs
Altmetric has tracked 23,552,911 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 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 423,040 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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