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A probabilistic framework for improving reverse geocoding output

Overview of attention for article published in Transactions in GIS, May 2020
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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4 Mendeley
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Title
A probabilistic framework for improving reverse geocoding output
Published in
Transactions in GIS, May 2020
DOI 10.1111/tgis.12623
Authors

Zhengcong Yin, Daniel W. Goldberg, Tracy A. Hammond, Chong Zhang, Andong Ma, Xiao Li

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Unknown 3 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 May 2020.
All research outputs
#20,618,687
of 23,208,901 outputs
Outputs from Transactions in GIS
#421
of 439 outputs
Outputs of similar age
#327,675
of 382,955 outputs
Outputs of similar age from Transactions in GIS
#15
of 17 outputs
Altmetric has tracked 23,208,901 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 439 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.