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Mendeley readers
Attention Score in Context
| Title |
Determining optimal neighborhood size for ecological studies using leave-one-out cross validation
|
|---|---|
| Published in |
International Journal of Health Geographics, April 2012
|
| DOI | 10.1186/1476-072x-11-10 |
| Pubmed ID | |
| Authors |
Deok Ryun Kim, Mohammad Ali, Dipika Sur, Ahmed Khatib, Thomas F Wierzba |
| Abstract |
We employed a leave-one-out cross validation to determine optimally sized neighborhood. Variations between a single point and the other points within each filter size for all the points in the study area were evaluated, and the mean squared error (MSE) for each filter was calculated. The filter with the lowest MSE was considered as the optimal neighborhood. The method is useful in determining the optimal neighborhood for both geographic and population filters. |
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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| United Kingdom | 1 | 3% |
| Colombia | 1 | 3% |
| Taiwan | 1 | 3% |
| Unknown | 31 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 22% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Master | 5 | 14% |
| Student > Doctoral Student | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 9 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 22% |
| Medicine and Dentistry | 4 | 11% |
| Environmental Science | 3 | 8% |
| Computer Science | 2 | 6% |
| Arts and Humanities | 2 | 6% |
| Other | 5 | 14% |
| Unknown | 12 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 05 April 2012.
All research outputs
#16,722,190
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#434
of 654 outputs
Outputs of similar age
#109,683
of 173,343 outputs
Outputs of similar age from International Journal of Health Geographics
#8
of 9 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
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 is in the 29th percentile – i.e., 29% 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 173,343 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.