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ClustGeo: an R package for hierarchical clustering with spatial constraints

Overview of attention for article published in Computational Statistics, January 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#5 of 198)
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

news
1 news outlet
twitter
11 X users
facebook
3 Facebook pages

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
118 Mendeley
Title
ClustGeo: an R package for hierarchical clustering with spatial constraints
Published in
Computational Statistics, January 2018
DOI 10.1007/s00180-018-0791-1
Authors

Marie Chavent, Vanessa Kuentz-Simonet, Amaury Labenne, Jérôme Saracco

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 118 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 27 23%
Researcher 24 20%
Student > Master 18 15%
Student > Bachelor 6 5%
Student > Doctoral Student 5 4%
Other 13 11%
Unknown 25 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 14%
Environmental Science 14 12%
Computer Science 10 8%
Social Sciences 8 7%
Engineering 8 7%
Other 30 25%
Unknown 32 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 27 April 2022.
All research outputs
#2,581,898
of 25,211,948 outputs
Outputs from Computational Statistics
#5
of 198 outputs
Outputs of similar age
#57,722
of 453,783 outputs
Outputs of similar age from Computational Statistics
#1
of 2 outputs
Altmetric has tracked 25,211,948 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done particularly well, scoring higher than 97% 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 453,783 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 87% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them