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Spatial interpolation using conditional generative adversarial neural networks

Overview of attention for article published in International Journal of Geographical Information Science, April 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 425)
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
14 Mendeley
Title
Spatial interpolation using conditional generative adversarial neural networks
Published in
International Journal of Geographical Information Science, April 2019
DOI 10.1080/13658816.2019.1599122
Authors

Di Zhu, Ximeng Cheng, Fan Zhang, Xin Yao, Yong Gao, Yu Liu

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 43%
Researcher 3 21%
Unspecified 2 14%
Student > Master 1 7%
Librarian 1 7%
Other 1 7%
Readers by discipline Count As %
Computer Science 6 43%
Unspecified 3 21%
Engineering 2 14%
Environmental Science 1 7%
Earth and Planetary Sciences 1 7%
Other 1 7%

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 03 May 2019.
All research outputs
#1,577,824
of 13,022,627 outputs
Outputs from International Journal of Geographical Information Science
#35
of 425 outputs
Outputs of similar age
#44,352
of 222,369 outputs
Outputs of similar age from International Journal of Geographical Information Science
#4
of 13 outputs
Altmetric has tracked 13,022,627 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 425 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 91% 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 222,369 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 80% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.