↓ Skip to main content

A spatiotemporal structural graph for characterizing land cover changes

Overview of attention for article published in International Journal of Geographical Information Science, June 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#9 of 863)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
54 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
46 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A spatiotemporal structural graph for characterizing land cover changes
Published in
International Journal of Geographical Information Science, June 2020
DOI 10.1080/13658816.2020.1778706
Authors

Bin Wu, Bailang Yu, Song Shu, Qiusheng Wu, Yi Zhao, Jianping Wu

X Demographics

X Demographics

The data shown below were collected from the profiles of 54 X users 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 15%
Student > Ph. D. Student 7 15%
Researcher 4 9%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Other 8 17%
Unknown 14 30%
Readers by discipline Count As %
Environmental Science 10 22%
Earth and Planetary Sciences 8 17%
Agricultural and Biological Sciences 3 7%
Computer Science 3 7%
Engineering 3 7%
Other 3 7%
Unknown 16 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 08 January 2021.
All research outputs
#1,102,694
of 25,597,324 outputs
Outputs from International Journal of Geographical Information Science
#9
of 863 outputs
Outputs of similar age
#31,913
of 422,297 outputs
Outputs of similar age from International Journal of Geographical Information Science
#1
of 20 outputs
Altmetric has tracked 25,597,324 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 863 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 98% 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 422,297 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.