| Title |
Treating cofactors can reverse the expansion of a primary disease epidemic
|
|---|---|
| Published in |
BMC Infectious Diseases, August 2010
|
| DOI | 10.1186/1471-2334-10-248 |
| Pubmed ID | |
| Authors |
Lee R Gibson, Bingtuan Li, Susanna K Remold |
| Abstract |
Cofactors, "nuisance" conditions or pathogens that affect the spread of a primary disease, are likely to be the norm rather than the exception in disease dynamics. Here we present a "simplest possible" demographic model that incorporates two distinct effects of cofactors: that on the transmission of the primary disease from an infected host bearing the cofactor, and that on the acquisition of the primary disease by an individual that is not infected with the primary disease but carries the cofactor. |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Unknown | 48 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 22% |
| Student > Master | 10 | 20% |
| Student > Ph. D. Student | 7 | 14% |
| Professor > Associate Professor | 7 | 14% |
| Student > Bachelor | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 8 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 15 | 29% |
| Agricultural and Biological Sciences | 7 | 14% |
| Nursing and Health Professions | 5 | 10% |
| Psychology | 3 | 6% |
| Computer Science | 2 | 4% |
| Other | 10 | 20% |
| Unknown | 9 | 18% |
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 25 March 2011.
All research outputs
#15,240,835
of 22,660,862 outputs
Outputs from BMC Infectious Diseases
#4,428
of 7,632 outputs
Outputs of similar age
#76,546
of 94,725 outputs
Outputs of similar age from BMC Infectious Diseases
#25
of 35 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,632 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.