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GSLIB-style programs for discriminant analysis and regionalized classification

Overview of attention for article published in Computers & Geosciences, August 1997
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
6 Mendeley
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Title
GSLIB-style programs for discriminant analysis and regionalized classification
Published in
Computers & Geosciences, August 1997
DOI 10.1016/s0098-3004(97)00050-2
Authors

Geoffrey C. Bohling

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 33%
Student > Ph. D. Student 1 17%
Student > Postgraduate 1 17%
Researcher 1 17%
Student > Doctoral Student 1 17%
Other 1 17%
Readers by discipline Count As %
Earth and Planetary Sciences 2 33%
Unspecified 2 33%
Computer Science 1 17%
Environmental Science 1 17%
Engineering 1 17%
Other 0 0%

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 14 September 2010.
All research outputs
#3,529,202
of 12,299,823 outputs
Outputs from Computers & Geosciences
#129
of 554 outputs
Outputs of similar age
#72,809
of 236,179 outputs
Outputs of similar age from Computers & Geosciences
#1
of 4 outputs
Altmetric has tracked 12,299,823 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 554 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 39th percentile – i.e., 39% 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 236,179 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% 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