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Mendeley readers
Attention Score in Context
| Title |
Bayesian inference for an emerging arboreal epidemic in the presence of control
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, April 2014
|
| DOI | 10.1073/pnas.1310997111 |
| Pubmed ID | |
| Authors |
Matthew Parry, Gavin J. Gibson, Stephen Parnell, Tim R. Gottwald, Michael S. Irey, Timothy C. Gast, Christopher A. Gilligan |
| Abstract |
The spread of Huanglongbing through citrus groves is used as a case study for modeling an emerging epidemic in the presence of a control. Specifically, the spread of the disease is modeled as a susceptible-exposed-infectious-detected-removed epidemic, where the exposure and infectious times are not observed, detection times are censored, removal times are known, and the disease is spreading through a heterogeneous host population with trees of different age and susceptibility. We show that it is possible to characterize the disease transmission process under these conditions. Two innovations in our work are (i) accounting for control measures via time dependence of the infectious process and (ii) including seasonal and host age effects in the model of the latent period. By estimating parameters in different subregions of a large commercially cultivated orchard, we establish a temporal pattern of invasion, host age dependence of the dispersal parameters, and a close to linear relationship between primary and secondary infectious rates. The model can be used to simulate Huanglongbing epidemics to assess economic costs and potential benefits of putative control scenarios. |
Mendeley readers
The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| United Kingdom | 2 | 2% |
| Canada | 1 | 1% |
| France | 1 | 1% |
| Nigeria | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 82 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 25% |
| Student > Ph. D. Student | 21 | 23% |
| Student > Master | 15 | 16% |
| Student > Doctoral Student | 5 | 5% |
| Other | 4 | 4% |
| Other | 11 | 12% |
| Unknown | 12 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 38 | 42% |
| Mathematics | 12 | 13% |
| Environmental Science | 5 | 5% |
| Computer Science | 4 | 4% |
| Earth and Planetary Sciences | 3 | 3% |
| Other | 15 | 16% |
| Unknown | 14 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 April 2014.
All research outputs
#3,008,811
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#33,014
of 101,438 outputs
Outputs of similar age
#29,601
of 232,868 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#470
of 1,002 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has gotten more attention than average, scoring higher than 67% 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 232,868 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 1,002 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 52% of its contemporaries.