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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Spatial multi-criteria decision analysis to predict suitability for African swine fever endemicity in Africa
|
|---|---|
| Published in |
BMC Veterinary Research, January 2014
|
| DOI | 10.1186/1746-6148-10-9 |
| Pubmed ID | |
| Authors |
William A de Glanville, Laurence Vial, Solenne Costard, Barbara Wieland, Dirk U Pfeiffer |
| Abstract |
African swine fever (ASF) is endemic in several countries of Africa and may pose a risk to all pig producing areas on the continent. Official ASF reporting is often rare and there remains limited awareness of the continent-wide distribution of the disease.In the absence of accurate ASF outbreak data and few quantitative studies on the epidemiology of the disease in Africa, we used spatial multi-criteria decision analysis (MCDA) to derive predictions of the continental distribution of suitability for ASF persistence in domestic pig populations as part of sylvatic or domestic transmission cycles. In order to incorporate the uncertainty in the relative importance of different criteria in defining suitability, we modelled decisions within the MCDA framework using a stochastic approach. The predictive performance of suitability estimates was assessed via a partial ROC analysis using ASF outbreak data reported to the OIE since 2005. |
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 % |
|---|---|---|
| Kenya | 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 137 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 31 | 22% |
| Student > Master | 18 | 13% |
| Student > Ph. D. Student | 14 | 10% |
| Other | 12 | 9% |
| Student > Doctoral Student | 10 | 7% |
| Other | 35 | 25% |
| Unknown | 20 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 23% |
| Veterinary Science and Veterinary Medicine | 31 | 22% |
| Medicine and Dentistry | 10 | 7% |
| Computer Science | 6 | 4% |
| Environmental Science | 6 | 4% |
| Other | 27 | 19% |
| Unknown | 28 | 20% |
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 10 February 2014.
All research outputs
#20,656,820
of 25,374,917 outputs
Outputs from BMC Veterinary Research
#2,106
of 3,298 outputs
Outputs of similar age
#242,513
of 318,831 outputs
Outputs of similar age from BMC Veterinary Research
#39
of 53 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% 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 is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.