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Ripley’s K‐function for Network‐Constrained Flow Data

Overview of attention for article published in Geographical Analysis, June 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

twitter
10 X users

Citations

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15 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Ripley’s K‐function for Network‐Constrained Flow Data
Published in
Geographical Analysis, June 2021
DOI 10.1111/gean.12300
Authors

Zihan Kan, Mei‐Po Kwan, Luliang Tang

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Researcher 1 8%
Professor > Associate Professor 1 8%
Other 0 0%
Unknown 5 42%
Readers by discipline Count As %
Social Sciences 3 25%
Environmental Science 1 8%
Physics and Astronomy 1 8%
Engineering 1 8%
Unknown 6 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 July 2021.
All research outputs
#4,552,364
of 23,308,124 outputs
Outputs from Geographical Analysis
#56
of 295 outputs
Outputs of similar age
#104,730
of 442,452 outputs
Outputs of similar age from Geographical Analysis
#4
of 5 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 295 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 81% 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 442,452 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 76% 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.