↓ Skip to main content

Treating cofactors can reverse the expansion of a primary disease epidemic

Overview of attention for article published in BMC Infectious Diseases, August 2010
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
38 Mendeley
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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 11%
Unknown 34 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 26%
Student > Master 6 16%
Student > Ph. D. Student 6 16%
Professor > Associate Professor 5 13%
Unspecified 3 8%
Other 8 21%
Readers by discipline Count As %
Medicine and Dentistry 13 34%
Agricultural and Biological Sciences 7 18%
Unspecified 4 11%
Engineering 2 5%
Nursing and Health Professions 2 5%
Other 10 26%

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
#7,762,456
of 12,373,180 outputs
Outputs from BMC Infectious Diseases
#2,570
of 4,592 outputs
Outputs of similar age
#117,000
of 221,706 outputs
Outputs of similar age from BMC Infectious Diseases
#114
of 194 outputs
Altmetric has tracked 12,373,180 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,592 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 35th percentile – i.e., 35% 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 221,706 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 194 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.