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Mendeley readers
Attention Score in Context
| 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 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 79 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 18% |
| Researcher | 10 | 13% |
| Student > Master | 8 | 10% |
| Student > Doctoral Student | 8 | 10% |
| Other | 5 | 6% |
| Other | 12 | 15% |
| Unknown | 23 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 19% |
| Social Sciences | 12 | 15% |
| Mathematics | 7 | 9% |
| Environmental Science | 5 | 6% |
| Computer Science | 3 | 4% |
| Other | 13 | 16% |
| Unknown | 25 | 31% |
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
#4,098,167
of 22,765,347 outputs
Outputs from International Journal of Health Geographics
#141
of 627 outputs
Outputs of similar age
#45,925
of 254,034 outputs
Outputs of similar age from International Journal of Health Geographics
#1
of 5 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 627 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has done well, scoring higher than 76% 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 254,034 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 81% 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. This one has scored higher than all of them