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Fuzzy set approach to assessing similarity of categorical maps

Overview of attention for article published in International Journal of Geographical Information Science, April 2003
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

policy
3 policy sources
twitter
1 X user

Readers on

mendeley
337 Mendeley
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Article details
Title
Fuzzy set approach to assessing similarity of categorical maps
Published in
International Journal of Geographical Information Science, April 2003
DOI 10.1080/13658810210157822
Authors

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Timeline Attention over time Attention Score history
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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 337 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Brazil 4 1%
United States 2 <1%
Netherlands 2 <1%
Canada 2 <1%
Taiwan 1 <1%
Poland 1 <1%
Japan 1 <1%
Italy 1 <1%
India 1 <1%
Other 6 2%
Unknown 316 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 79 23%
Researcher 73 22%
Student > Master 45 13%
Student > Doctoral Student 15 4%
Professor > Associate Professor 14 4%
Other 55 16%
Unknown 56 17%
Readers by discipline
Readers by discipline Count As %
Environmental Science 90 27%
Earth and Planetary Sciences 64 19%
Agricultural and Biological Sciences 34 10%
Engineering 27 8%
Social Sciences 17 5%
Other 22 7%
Unknown 83 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 23 December 2022.
All research outputs
#4,045,822
of 29,897,939 outputs
Outputs from International Journal of Geographical Information Science
#59
of 1,087 outputs
Outputs of similar age
#7,065
of 74,527 outputs
Outputs of similar age from International Journal of Geographical Information Science
#2
of 5 outputs
Altmetric has tracked 29,897,939 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,087 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 94% 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 74,527 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 89% of its contemporaries.
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 3 of them.