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Spectral Simulation and Conditioning to Local Continuity Trends in Geologic Modeling

Overview of attention for article published in Mathematical Geosciences, April 2006
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Mentioned by

patent
1 patent

Citations

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4 Dimensions

Readers on

mendeley
15 Mendeley
Title
Spectral Simulation and Conditioning to Local Continuity Trends in Geologic Modeling
Published in
Mathematical Geosciences, April 2006
DOI 10.1007/s11004-005-9003-y
Authors

Tingting Yao, Craig Calvert, Tom Jones, Glen Bishop, Yuan Ma, Lincoln Foreman

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 %
United States 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Student > Doctoral Student 3 20%
Professor > Associate Professor 2 13%
Researcher 2 13%
Lecturer > Senior Lecturer 1 7%
Other 1 7%
Unknown 1 7%
Readers by discipline Count As %
Engineering 6 40%
Earth and Planetary Sciences 5 33%
Environmental Science 2 13%
Unknown 2 13%
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 20 October 2009.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Mathematical Geosciences
#57
of 291 outputs
Outputs of similar age
#29,056
of 84,726 outputs
Outputs of similar age from Mathematical Geosciences
#1
of 6 outputs
Altmetric has tracked 25,373,627 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 291 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 33rd percentile – i.e., 33% 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 84,726 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 6 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