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Mendeley readers
Attention Score in Context
| Title |
Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing methods: a simulation study
|
|---|---|
| Published in |
International Journal of Health Geographics, December 2013
|
| DOI | 10.1186/1476-072x-12-54 |
| Pubmed ID | |
| Authors |
Dorothea Lemke, Volkmar Mattauch, Oliver Heidinger, Edzer Pebesma, Hans-Werner Hense |
| Abstract |
There is a rising public and political demand for prospective cancer cluster monitoring. But there is little empirical evidence on the performance of established cluster detection tests under conditions of small and heterogeneous sample sizes and varying spatial scales, such as are the case for most existing population-based cancer registries. Therefore this simulation study aims to evaluate different cluster detection methods, implemented in the open soure environment R, in their ability to identify clusters of lung cancer using real-life data from an epidemiological cancer registry in Germany. |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 2% |
| Unknown | 40 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 27% |
| Researcher | 7 | 17% |
| Other | 4 | 10% |
| Student > Master | 3 | 7% |
| Professor | 2 | 5% |
| Other | 7 | 17% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 29% |
| Environmental Science | 4 | 10% |
| Mathematics | 3 | 7% |
| Computer Science | 3 | 7% |
| Social Sciences | 3 | 7% |
| Other | 7 | 17% |
| Unknown | 9 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 22 January 2019.
All research outputs
#3,415,510
of 25,374,917 outputs
Outputs from International Journal of Health Geographics
#112
of 654 outputs
Outputs of similar age
#37,791
of 319,918 outputs
Outputs of similar age from International Journal of Health Geographics
#5
of 16 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 82% 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 319,918 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 16 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 68% of its contemporaries.