↓ Skip to main content

Choice modelling with Gaussian processes in the social sciences: A case study of neighbourhood choice in Stockholm

Overview of attention for article published in PLoS ONE, November 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

blogs
1 blog
twitter
7 tweeters

Readers on

mendeley
13 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
Choice modelling with Gaussian processes in the social sciences: A case study of neighbourhood choice in Stockholm
Published in
PLoS ONE, November 2018
DOI 10.1371/journal.pone.0206687
Authors

Richard P. Mann, Viktoria Spaiser, Lina Hedman, David J. T. Sumpter

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 46%
Student > Postgraduate 2 15%
Researcher 2 15%
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Other 1 8%
Readers by discipline Count As %
Unspecified 6 46%
Social Sciences 4 31%
Agricultural and Biological Sciences 1 8%
Neuroscience 1 8%
Medicine and Dentistry 1 8%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 November 2018.
All research outputs
#1,130,927
of 12,896,547 outputs
Outputs from PLoS ONE
#19,012
of 139,669 outputs
Outputs of similar age
#46,814
of 299,613 outputs
Outputs of similar age from PLoS ONE
#50
of 165 outputs
Altmetric has tracked 12,896,547 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 139,669 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one has done well, scoring higher than 86% 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 299,613 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 84% of its contemporaries.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.