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Detection of the gas-bearing zone in a carbonate reservoir using multi-class relevance vector machines (RVM): comparison of its performance with SVM and PNN

Overview of attention for article published in Carbonates and Evaporites, January 2018
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1 X user

Citations

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15 Mendeley
Title
Detection of the gas-bearing zone in a carbonate reservoir using multi-class relevance vector machines (RVM): comparison of its performance with SVM and PNN
Published in
Carbonates and Evaporites, January 2018
DOI 10.1007/s13146-017-0411-0
Authors

Reza Mohebian, Mohammad Ali Riahi, Mona Afjeh

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

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Student > Master 2 13%
Student > Bachelor 1 7%
Other 1 7%
Student > Doctoral Student 1 7%
Other 1 7%
Unknown 6 40%
Readers by discipline Count As %
Computer Science 2 13%
Unspecified 1 7%
Earth and Planetary Sciences 1 7%
Materials Science 1 7%
Engineering 1 7%
Other 0 0%
Unknown 9 60%
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 08 January 2018.
All research outputs
#21,476,880
of 23,975,976 outputs
Outputs from Carbonates and Evaporites
#91
of 212 outputs
Outputs of similar age
#386,144
of 449,077 outputs
Outputs of similar age from Carbonates and Evaporites
#5
of 18 outputs
Altmetric has tracked 23,975,976 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 212 research outputs from this source. They receive a mean Attention Score of 1.2. This one is in the 1st percentile – i.e., 1% 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 449,077 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 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.