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Nonstationary multivariate process modeling through spatially varying coregionalization

Overview of attention for article published in TEST, December 2004
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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 (#6 of 109)
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

policy
1 policy source
wikipedia
1 Wikipedia page

Citations

dimensions_citation
286 Dimensions

Readers on

mendeley
129 Mendeley
Title
Nonstationary multivariate process modeling through spatially varying coregionalization
Published in
TEST, December 2004
DOI 10.1007/bf02595775
Authors

Alan E. Gelfand, Alexandra M. Schmidt, Sudipto Banerjee, C. F. Sirmans

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 6%
United Kingdom 5 4%
Finland 1 <1%
Australia 1 <1%
Iceland 1 <1%
Canada 1 <1%
Japan 1 <1%
Belgium 1 <1%
Unknown 110 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 39%
Researcher 18 14%
Student > Master 12 9%
Student > Doctoral Student 7 5%
Professor 7 5%
Other 21 16%
Unknown 14 11%
Readers by discipline Count As %
Mathematics 40 31%
Computer Science 13 10%
Engineering 12 9%
Earth and Planetary Sciences 9 7%
Agricultural and Biological Sciences 9 7%
Other 28 22%
Unknown 18 14%
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 06 October 2019.
All research outputs
#5,611,796
of 26,017,215 outputs
Outputs from TEST
#6
of 109 outputs
Outputs of similar age
#19,237
of 155,902 outputs
Outputs of similar age from TEST
#1
of 2 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 109 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done particularly well, scoring higher than 91% 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 155,902 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 80% of its contemporaries.
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