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Topology in Raster and Vector Representation

Overview of attention for article published in GeoInformatica, March 2000
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About this Attention Score

  • Among the highest-scoring outputs from this source (#34 of 107)

Mentioned by

patent
1 patent

Citations

dimensions_citation
41 Dimensions

Readers on

mendeley
61 Mendeley
citeulike
2 CiteULike
Title
Topology in Raster and Vector Representation
Published in
GeoInformatica, March 2000
DOI 10.1023/a:1009828425380
Authors

Stephan Winter, Andrew U. Frank

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
United Kingdom 2 3%
Unknown 56 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 18%
Student > Master 11 18%
Researcher 8 13%
Professor > Associate Professor 5 8%
Student > Bachelor 4 7%
Other 13 21%
Unknown 9 15%
Readers by discipline Count As %
Computer Science 16 26%
Earth and Planetary Sciences 13 21%
Environmental Science 7 11%
Social Sciences 5 8%
Engineering 4 7%
Other 7 11%
Unknown 9 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 2009.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from GeoInformatica
#34
of 107 outputs
Outputs of similar age
#13,754
of 41,736 outputs
Outputs of similar age from GeoInformatica
#1
of 1 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 107 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 33rd percentile – i.e., 33% 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 41,736 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% 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