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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Determining the dynamics of influenza transmission by age
|
|---|---|
| Published in |
Emerging Themes in Epidemiology, March 2014
|
| DOI | 10.1186/1742-7622-11-4 |
| Pubmed ID | |
| Authors |
Laura F White, Brett Archer, Marcello Pagano |
| Abstract |
It is widely accepted that influenza transmission dynamics vary by age; however methods to quantify the reproductive number by age group are limited. We introduce a simple method to estimate the reproductive number by modifying the method originally proposed by Wallinga and Teunis and using existing information on contact patterns between age groups. We additionally perform a sensitivity analysis to determine the potential impact of differential healthcare seeking patterns by age. We illustrate this method using data from the 2009 H1N1 Influenza pandemic in Gauteng Province, South Africa. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 3% |
| Unknown | 38 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 18% |
| Student > Master | 7 | 18% |
| Student > Ph. D. Student | 5 | 13% |
| Professor > Associate Professor | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Other | 7 | 18% |
| Unknown | 6 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 28% |
| Agricultural and Biological Sciences | 4 | 10% |
| Mathematics | 3 | 8% |
| Engineering | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 8 | 21% |
| Unknown | 9 | 23% |
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 January 2017.
All research outputs
#16,017,750
of 23,775,451 outputs
Outputs from Emerging Themes in Epidemiology
#122
of 149 outputs
Outputs of similar age
#133,951
of 224,883 outputs
Outputs of similar age from Emerging Themes in Epidemiology
#4
of 4 outputs
Altmetric has tracked 23,775,451 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 149 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 10th percentile – i.e., 10% 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 224,883 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.