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Mendeley readers
Attention Score in Context
| Title |
Estimating the accuracy of geographical imputation
|
|---|---|
| Published in |
International Journal of Health Geographics, January 2008
|
| DOI | 10.1186/1476-072x-7-3 |
| Pubmed ID | |
| Authors |
Kevin A Henry, Francis P Boscoe |
| Abstract |
To reduce the number of non-geocoded cases researchers and organizations sometimes include cases geocoded to postal code centroids along with cases geocoded with the greater precision of a full street address. Some analysts then use the postal code to assign information to the cases from finer-level geographies such as a census tract. Assignment is commonly completed using either a postal centroid or by a geographical imputation method which assigns a location by using both the demographic characteristics of the case and the population characteristics of the postal delivery area. To date no systematic evaluation of geographical imputation methods ("geo-imputation") has been completed. The objective of this study was to determine the accuracy of census tract assignment using geo-imputation. |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| United Kingdom | 2 | 3% |
| Italy | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 58 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 28% |
| Researcher | 16 | 25% |
| Student > Master | 7 | 11% |
| Professor > Associate Professor | 6 | 9% |
| Student > Bachelor | 3 | 5% |
| Other | 8 | 12% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 18 | 28% |
| Medicine and Dentistry | 16 | 25% |
| Environmental Science | 4 | 6% |
| Mathematics | 3 | 5% |
| Nursing and Health Professions | 3 | 5% |
| Other | 11 | 17% |
| Unknown | 10 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 March 2009.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#293
of 654 outputs
Outputs of similar age
#45,593
of 168,435 outputs
Outputs of similar age from International Journal of Health Geographics
#2
of 7 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 47th percentile – i.e., 47% 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 168,435 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.