Title |
The role of cellular immunity in Influenza H1N1 population dynamics
|
---|---|
Published in |
BMC Infectious Diseases, November 2012
|
DOI | 10.1186/1471-2334-12-329 |
Pubmed ID | |
Authors |
Venkata R Duvvuri, Jane M Heffernan, Seyed M Moghadas, Bhargavi Duvvuri, Hongbin Guo, David N Fisman, Jianhong Wu, Gillian E Wu |
Abstract |
Pre-existing cellular immunity has been recognized as one of the key factors in determining the outcome of influenza infection by reducing the likelihood of clinical disease and mitigates illness. Whether, and to what extent, the effect of this self-protective mechanism can be captured in the population dynamics of an influenza epidemic has not been addressed. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 5% |
Vietnam | 1 | 5% |
Unknown | 20 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 41% |
Professor > Associate Professor | 3 | 14% |
Other | 2 | 9% |
Student > Ph. D. Student | 2 | 9% |
Student > Master | 1 | 5% |
Other | 3 | 14% |
Unknown | 2 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 8 | 36% |
Agricultural and Biological Sciences | 5 | 23% |
Mathematics | 3 | 14% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Veterinary Science and Veterinary Medicine | 1 | 5% |
Other | 2 | 9% |
Unknown | 2 | 9% |
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 30 November 2012.
All research outputs
#15,332,207
of 23,577,761 outputs
Outputs from BMC Infectious Diseases
#4,185
of 7,854 outputs
Outputs of similar age
#177,532
of 281,632 outputs
Outputs of similar age from BMC Infectious Diseases
#68
of 144 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,854 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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We're also able to compare this research output to 144 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.