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A Bayesian/maximum-entropy view to the spatial estimation problem

Overview of attention for article published in Mathematical Geosciences, October 1990
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Mentioned by

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1 policy source

Citations

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264 Dimensions

Readers on

mendeley
101 Mendeley
Title
A Bayesian/maximum-entropy view to the spatial estimation problem
Published in
Mathematical Geosciences, October 1990
DOI 10.1007/bf00890661
Authors

George Christakos

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 <1%
India 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
China 1 <1%
United States 1 <1%
Unknown 95 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 27%
Researcher 18 18%
Student > Master 15 15%
Professor > Associate Professor 7 7%
Student > Doctoral Student 6 6%
Other 11 11%
Unknown 17 17%
Readers by discipline Count As %
Earth and Planetary Sciences 19 19%
Engineering 18 18%
Environmental Science 18 18%
Agricultural and Biological Sciences 7 7%
Computer Science 4 4%
Other 12 12%
Unknown 23 23%
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 01 January 2004.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Mathematical Geosciences
#57
of 291 outputs
Outputs of similar age
#4,462
of 14,903 outputs
Outputs of similar age from Mathematical Geosciences
#1
of 2 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 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 14,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 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