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Leveraging similarity analysis to understand variability in movement behavior

Overview of attention for article published in Transactions in GIS, June 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Leveraging similarity analysis to understand variability in movement behavior
Published in
Transactions in GIS, June 2023
DOI 10.1111/tgis.13082
Authors

Zijian Wan, Somayeh Dodge, Gil Bohrer

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 4%
Professor > Associate Professor 1 4%
Student > Bachelor 1 4%
Researcher 1 4%
Student > Doctoral Student 1 4%
Other 0 0%
Unknown 19 79%
Readers by discipline Count As %
Social Sciences 2 8%
Unspecified 1 4%
Engineering 1 4%
Unknown 20 83%
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 07 December 2023.
All research outputs
#7,142,424
of 24,960,237 outputs
Outputs from Transactions in GIS
#110
of 460 outputs
Outputs of similar age
#111,276
of 356,406 outputs
Outputs of similar age from Transactions in GIS
#2
of 5 outputs
Altmetric has tracked 24,960,237 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 460 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 75% 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 356,406 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 68% of its contemporaries.
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 3 of them.