↓ Skip to main content

A spatially aware method for mapping movement‐based and place‐based regions from spatial flow networks

Overview of attention for article published in Transactions in GIS, June 2021
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 442)
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

twitter
15 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
14 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 spatially aware method for mapping movement‐based and place‐based regions from spatial flow networks
Published in
Transactions in GIS, June 2021
DOI 10.1111/tgis.12772
Authors

Sebastijan Sekulić, Jed Long, Urška Demšar

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 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 %
Researcher 3 21%
Student > Master 3 21%
Student > Ph. D. Student 2 14%
Student > Bachelor 1 7%
Student > Doctoral Student 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Economics, Econometrics and Finance 3 21%
Social Sciences 2 14%
Earth and Planetary Sciences 2 14%
Mathematics 1 7%
Computer Science 1 7%
Other 2 14%
Unknown 3 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 06 April 2022.
All research outputs
#2,960,882
of 23,500,709 outputs
Outputs from Transactions in GIS
#26
of 442 outputs
Outputs of similar age
#72,632
of 446,286 outputs
Outputs of similar age from Transactions in GIS
#4
of 19 outputs
Altmetric has tracked 23,500,709 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 442 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 94% 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 446,286 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 83% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.