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Neural network prediction of carbonate lithofacies from well logs, Big Bow and Sand Arroyo Creek fields, Southwest Kansas

Overview of attention for article published in Computers & Geosciences, August 2006
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Mentioned by

patent
5 patents

Citations

dimensions_citation
89 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Neural network prediction of carbonate lithofacies from well logs, Big Bow and Sand Arroyo Creek fields, Southwest Kansas
Published in
Computers & Geosciences, August 2006
DOI 10.1016/j.cageo.2005.10.020
Authors

Lianshuang Qi, Timothy R. Carr

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 2 3%
United States 1 1%
India 1 1%
France 1 1%
Unknown 67 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 17%
Student > Ph. D. Student 10 14%
Researcher 6 8%
Student > Doctoral Student 4 6%
Lecturer 4 6%
Other 12 17%
Unknown 24 33%
Readers by discipline Count As %
Earth and Planetary Sciences 26 36%
Engineering 9 13%
Energy 4 6%
Computer Science 1 1%
Mathematics 1 1%
Other 2 3%
Unknown 29 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 November 2023.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Computers & Geosciences
#286
of 970 outputs
Outputs of similar age
#30,665
of 90,180 outputs
Outputs of similar age from Computers & Geosciences
#1
of 4 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 970 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 37th percentile – i.e., 37% 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 90,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 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