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Fitting variogram models by weighted least squares

Overview of attention for article published in Mathematical Geosciences, July 1985
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Mentioned by

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1 patent

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312 Mendeley
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Title
Fitting variogram models by weighted least squares
Published in
Mathematical Geosciences, July 1985
DOI 10.1007/bf01032109
Authors

Noel Cressie

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 312 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 3%
Belgium 2 <1%
Chile 2 <1%
Spain 2 <1%
Netherlands 1 <1%
Kenya 1 <1%
Australia 1 <1%
Ireland 1 <1%
India 1 <1%
Other 7 2%
Unknown 286 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 91 29%
Researcher 65 21%
Student > Master 34 11%
Student > Bachelor 20 6%
Student > Doctoral Student 17 5%
Other 40 13%
Unknown 45 14%
Readers by discipline Count As %
Engineering 59 19%
Earth and Planetary Sciences 50 16%
Mathematics 37 12%
Environmental Science 34 11%
Agricultural and Biological Sciences 26 8%
Other 39 13%
Unknown 67 21%
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 07 November 2006.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Mathematical Geosciences
#57
of 291 outputs
Outputs of similar age
#2,652
of 9,255 outputs
Outputs of similar age from Mathematical Geosciences
#1
of 1 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 9,255 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 1 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