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Time-series animation techniques for visualizing urban growth

Overview of attention for article published in Computers & Geosciences, May 1997
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Mentioned by

policy
1 policy source

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
70 Mendeley
citeulike
2 CiteULike
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Title
Time-series animation techniques for visualizing urban growth
Published in
Computers & Geosciences, May 1997
DOI 10.1016/s0098-3004(97)00006-x
Authors

William Acevedo, Penny Masuoka

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Germany 1 1%
Switzerland 1 1%
Netherlands 1 1%
India 1 1%
United States 1 1%
Unknown 64 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 27%
Researcher 10 14%
Professor > Associate Professor 10 14%
Student > Master 10 14%
Student > Doctoral Student 4 6%
Other 10 14%
Unknown 7 10%
Readers by discipline Count As %
Earth and Planetary Sciences 13 19%
Computer Science 12 17%
Social Sciences 11 16%
Engineering 7 10%
Environmental Science 6 9%
Other 12 17%
Unknown 9 13%
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 04 March 2016.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from Computers & Geosciences
#286
of 970 outputs
Outputs of similar age
#9,549
of 29,380 outputs
Outputs of similar age from Computers & Geosciences
#3
of 5 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 970 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 37th percentile – i.e., 37% 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 29,380 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.