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Mendeley readers
Attention Score in Context
| Title |
A flexibly shaped spatial scan statistic for detecting clusters
|
|---|---|
| Published in |
International Journal of Health Geographics, May 2005
|
| DOI | 10.1186/1476-072x-4-11 |
| Pubmed ID | |
| Authors |
Toshiro Tango, Kunihiko Takahashi |
| Abstract |
The spatial scan statistic proposed by Kulldorff has been applied to a wide variety of epidemiological studies for cluster detection. This scan statistic, however, uses a circular window to define the potential cluster areas and thus has difficulty in correctly detecting actual noncircular clusters. A recent proposal by Duczmal and Assunção for detecting noncircular clusters is shown to detect a cluster of very irregular shape that is much larger than the true cluster in our experiences. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 203 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 2% |
| United States | 3 | 1% |
| Switzerland | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| United Kingdom | 1 | <1% |
| Belgium | 1 | <1% |
| Taiwan | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 189 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 23% |
| Researcher | 44 | 22% |
| Student > Master | 22 | 11% |
| Professor > Associate Professor | 11 | 5% |
| Other | 10 | 5% |
| Other | 39 | 19% |
| Unknown | 31 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 13% |
| Medicine and Dentistry | 26 | 13% |
| Computer Science | 21 | 10% |
| Mathematics | 15 | 7% |
| Social Sciences | 14 | 7% |
| Other | 53 | 26% |
| Unknown | 47 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 March 2015.
All research outputs
#18,378,085
of 22,763,032 outputs
Outputs from International Journal of Health Geographics
#513
of 627 outputs
Outputs of similar age
#54,457
of 57,694 outputs
Outputs of similar age from International Journal of Health Geographics
#1
of 1 outputs
Altmetric has tracked 22,763,032 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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 is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 57,694 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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