↓ Skip to main content

Comparing multilevel and Bayesian spatial random effects survival models to assess geographical inequalities in colorectal cancer survival: a case study

Overview of attention for article published in International Journal of Health Geographics, October 2014
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 (83rd percentile)

Mentioned by

news
1 news outlet
facebook
1 Facebook page

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
69 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
Comparing multilevel and Bayesian spatial random effects survival models to assess geographical inequalities in colorectal cancer survival: a case study
Published in
International Journal of Health Geographics, October 2014
DOI 10.1186/1476-072x-13-36
Pubmed ID
Authors

Paramita Dasgupta, Susanna M Cramb, Joanne F Aitken, Gavin Turrell, Peter D Baade

Abstract

Multilevel and spatial models are being increasingly used to obtain substantive information on area-level inequalities in cancer survival. Multilevel models assume independent geographical areas, whereas spatial models explicitly incorporate geographical correlation, often via a conditional autoregressive prior. However the relative merits of these methods for large population-based studies have not been explored. Using a case-study approach, we report on the implications of using multilevel and spatial survival models to study geographical inequalities in all-cause survival.

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Researcher 10 14%
Student > Master 8 12%
Student > Doctoral Student 7 10%
Other 5 7%
Other 9 13%
Unknown 16 23%
Readers by discipline Count As %
Medicine and Dentistry 15 22%
Social Sciences 11 16%
Mathematics 7 10%
Environmental Science 4 6%
Computer Science 3 4%
Other 11 16%
Unknown 18 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 04 October 2014.
All research outputs
#1,918,436
of 12,545,316 outputs
Outputs from International Journal of Health Geographics
#88
of 475 outputs
Outputs of similar age
#34,549
of 212,460 outputs
Outputs of similar age from International Journal of Health Geographics
#1
of 4 outputs
Altmetric has tracked 12,545,316 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 80% 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 212,460 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 4 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