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Data scale as cartography: a semi-automatic approach for thematic web map creation

Overview of attention for article published in Cartography and Geographic Information Science, November 2019
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

mendeley
34 Mendeley
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Title
Data scale as cartography: a semi-automatic approach for thematic web map creation
Published in
Cartography and Geographic Information Science, November 2019
DOI 10.1080/15230406.2019.1677176
Authors

Auriol Degbelo, Saad Sarfraz, Christian Kray

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 5 15%
Researcher 3 9%
Student > Bachelor 3 9%
Lecturer 1 3%
Other 2 6%
Unknown 12 35%
Readers by discipline Count As %
Computer Science 5 15%
Unspecified 4 12%
Social Sciences 3 9%
Environmental Science 2 6%
Engineering 2 6%
Other 5 15%
Unknown 13 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 November 2019.
All research outputs
#15,586,847
of 23,172,045 outputs
Outputs from Cartography and Geographic Information Science
#210
of 277 outputs
Outputs of similar age
#226,038
of 365,443 outputs
Outputs of similar age from Cartography and Geographic Information Science
#1
of 1 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 277 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 10th percentile – i.e., 10% 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 365,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% 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