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Cubic Map Algebra Functions for Spatio-Temporal Analysis

Overview of attention for article published in Cartography and Geographic Information Science, January 2005
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Mentioned by

wikipedia
2 Wikipedia pages

Readers on

mendeley
95 Mendeley
citeulike
2 CiteULike
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Title
Cubic Map Algebra Functions for Spatio-Temporal Analysis
Published in
Cartography and Geographic Information Science, January 2005
DOI 10.1559/1523040053270765
Authors

Jeremy Mennis, Roland Viger, C. Dana Tomlin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
United Kingdom 3 3%
Brazil 1 1%
Colombia 1 1%
Spain 1 1%
Italy 1 1%
Unknown 84 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 28%
Researcher 16 17%
Student > Master 16 17%
Student > Doctoral Student 9 9%
Student > Bachelor 5 5%
Other 14 15%
Unknown 8 8%
Readers by discipline Count As %
Computer Science 23 24%
Environmental Science 18 19%
Earth and Planetary Sciences 14 15%
Social Sciences 9 9%
Agricultural and Biological Sciences 6 6%
Other 11 12%
Unknown 14 15%
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 December 2021.
All research outputs
#7,492,850
of 22,903,988 outputs
Outputs from Cartography and Geographic Information Science
#104
of 275 outputs
Outputs of similar age
#36,104
of 139,958 outputs
Outputs of similar age from Cartography and Geographic Information Science
#1
of 5 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 275 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 42nd percentile – i.e., 42% 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 139,958 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 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