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SE‐KGE: A location‐aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting

Overview of attention for article published in Transactions in GIS, May 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
8 X users

Citations

dimensions_citation
40 Dimensions

Readers on

mendeley
73 Mendeley
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Title
SE‐KGE: A location‐aware Knowledge Graph Embedding model for Geographic Question Answering and Spatial Semantic Lifting
Published in
Transactions in GIS, May 2020
DOI 10.1111/tgis.12629
Authors

Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 73 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 26%
Student > Master 9 12%
Researcher 8 11%
Lecturer 4 5%
Student > Doctoral Student 3 4%
Other 7 10%
Unknown 23 32%
Readers by discipline Count As %
Computer Science 27 37%
Engineering 8 11%
Environmental Science 5 7%
Earth and Planetary Sciences 4 5%
Unknown 29 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 March 2022.
All research outputs
#7,103,227
of 24,848,516 outputs
Outputs from Transactions in GIS
#110
of 459 outputs
Outputs of similar age
#144,275
of 402,792 outputs
Outputs of similar age from Transactions in GIS
#11
of 20 outputs
Altmetric has tracked 24,848,516 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 459 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 76% 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 402,792 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% 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 gotten more attention than average, scoring higher than 50% of its contemporaries.