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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparison of covariate adjustment methods using space-time scan statistics for food animal syndromic surveillance
|
|---|---|
| Published in |
BMC Veterinary Research, November 2013
|
| DOI | 10.1186/1746-6148-9-231 |
| Pubmed ID | |
| Authors |
Gillian D Alton, David L Pearl, Ken G Bateman, Bruce McNab, Olaf Berke |
| Abstract |
Abattoir condemnation data show promise as a rich source of data for syndromic surveillance of both animal and zoonotic diseases. However, inherent characteristics of abattoir condemnation data can bias results from space-time cluster detection methods for disease surveillance, and may need to be accounted for using various adjustment methods. The objective of this study was to compare the space-time scan statistics with different abilities to control for covariates and to assess their suitability for food animal syndromic surveillance. Four space-time scan statistic models were used including: animal class adjusted Poisson, space-time permutation, multi-level model adjusted Poisson, and a weighted normal scan statistic using model residuals. The scan statistics were applied to monthly bovine pneumonic lung and "parasitic liver" condemnation data from Ontario provincial abattoirs from 2001-2007. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 30% |
| Researcher | 7 | 16% |
| Student > Master | 5 | 12% |
| Lecturer | 2 | 5% |
| Other | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 8 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 21% |
| Veterinary Science and Veterinary Medicine | 8 | 19% |
| Computer Science | 5 | 12% |
| Medicine and Dentistry | 5 | 12% |
| Psychology | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 7 | 16% |
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 28 November 2013.
All research outputs
#16,580,596
of 25,374,917 outputs
Outputs from BMC Veterinary Research
#1,328
of 3,298 outputs
Outputs of similar age
#192,950
of 315,753 outputs
Outputs of similar age from BMC Veterinary Research
#20
of 48 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,298 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 58% 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 315,753 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 48 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 56% of its contemporaries.