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Multiple-point geostatistical modeling based on the cross-correlation functions

Overview of attention for article published in Computational Geosciences, March 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 134)
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

patent
1 patent
wikipedia
7 Wikipedia pages

Citations

dimensions_citation
239 Dimensions

Readers on

mendeley
174 Mendeley
citeulike
3 CiteULike
Title
Multiple-point geostatistical modeling based on the cross-correlation functions
Published in
Computational Geosciences, March 2012
DOI 10.1007/s10596-012-9287-1
Authors

Pejman Tahmasebi, Ardeshir Hezarkhani, Muhammad Sahimi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 174 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Belgium 2 1%
Australia 1 <1%
United Kingdom 1 <1%
Chile 1 <1%
Canada 1 <1%
China 1 <1%
Denmark 1 <1%
Unknown 163 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 26%
Student > Master 28 16%
Researcher 17 10%
Student > Bachelor 13 7%
Other 9 5%
Other 29 17%
Unknown 33 19%
Readers by discipline Count As %
Engineering 43 25%
Earth and Planetary Sciences 37 21%
Energy 8 5%
Agricultural and Biological Sciences 7 4%
Computer Science 7 4%
Other 28 16%
Unknown 44 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 17 March 2024.
All research outputs
#4,695,037
of 22,783,848 outputs
Outputs from Computational Geosciences
#8
of 134 outputs
Outputs of similar age
#30,895
of 156,432 outputs
Outputs of similar age from Computational Geosciences
#1
of 4 outputs
Altmetric has tracked 22,783,848 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 134 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 79% of its peers.
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 156,432 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
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