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An overview of case-based reasoning applications in drilling engineering

Overview of attention for article published in Artificial Intelligence Review, January 2012
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1 X user

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53 Mendeley
Title
An overview of case-based reasoning applications in drilling engineering
Published in
Artificial Intelligence Review, January 2012
DOI 10.1007/s10462-011-9310-2
Authors

Samad Valipour Shokouhi, Pål Skalle, Agnar Aamodt

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

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 23%
Student > Ph. D. Student 11 21%
Student > Bachelor 9 17%
Researcher 4 8%
Student > Doctoral Student 3 6%
Other 4 8%
Unknown 10 19%
Readers by discipline Count As %
Computer Science 24 45%
Engineering 11 21%
Energy 2 4%
Chemical Engineering 1 2%
Earth and Planetary Sciences 1 2%
Other 2 4%
Unknown 12 23%
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 02 April 2014.
All research outputs
#17,694,647
of 22,751,628 outputs
Outputs from Artificial Intelligence Review
#521
of 672 outputs
Outputs of similar age
#190,863
of 244,418 outputs
Outputs of similar age from Artificial Intelligence Review
#4
of 5 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 672 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 22nd percentile – i.e., 22% 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 244,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.