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Mendeley readers
Attention Score in Context
| Title |
Performance map of a cluster detection test using extended power
|
|---|---|
| Published in |
International Journal of Health Geographics, October 2013
|
| DOI | 10.1186/1476-072x-12-47 |
| Pubmed ID | |
| Authors |
Aline Guttmann, Lemlih Ouchchane, Xinran Li, Isabelle Perthus, Jean Gaudart, Jacques Demongeot, Jean-Yves Boire |
| Abstract |
Conventional power studies possess limited ability to assess the performance of cluster detection tests. In particular, they cannot evaluate the accuracy of the cluster location, which is essential in such assessments. Furthermore, they usually estimate power for one or a few particular alternative hypotheses and thus cannot assess performance over an entire region. Takahashi and Tango developed the concept of extended power that indicates both the rate of null hypothesis rejection and the accuracy of the cluster location. We propose a systematic assessment method, using here extended power, to produce a map showing the performance of cluster detection tests over an entire region. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| United States | 1 | 4% |
| France | 1 | 4% |
| Taiwan | 1 | 4% |
| Unknown | 19 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 26% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Doctoral Student | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 22% |
| Nursing and Health Professions | 2 | 9% |
| Agricultural and Biological Sciences | 2 | 9% |
| Economics, Econometrics and Finance | 2 | 9% |
| Mathematics | 1 | 4% |
| Other | 4 | 17% |
| Unknown | 7 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 25 October 2013.
All research outputs
#6,740,700
of 25,371,288 outputs
Outputs from International Journal of Health Geographics
#214
of 654 outputs
Outputs of similar age
#56,713
of 224,575 outputs
Outputs of similar age from International Journal of Health Geographics
#4
of 12 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
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 gotten more attention than average, scoring higher than 67% 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 224,575 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 12 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 66% of its contemporaries.