| Title |
Simulation-guided design of serological surveys of the cumulative incidence of influenza infection
|
|---|---|
| Published in |
BMC Infectious Diseases, September 2014
|
| DOI | 10.1186/1471-2334-14-505 |
| Pubmed ID | |
| Authors |
Kendra M Wu, Steven Riley |
| Abstract |
Influenza infection does not always cause clinical illnesses, so serological surveillance has been used to determine the true burden of influenza outbreaks. This study investigates the accuracy of measuring cumulative incidence of influenza infection using different serological survey designs. |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Vietnam | 1 | 4% |
| Unknown | 23 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 32% |
| Researcher | 5 | 20% |
| Student > Master | 3 | 12% |
| Professor > Associate Professor | 2 | 8% |
| Professor | 2 | 8% |
| Other | 4 | 16% |
| Unknown | 1 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 44% |
| Agricultural and Biological Sciences | 6 | 24% |
| Mathematics | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Unspecified | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 2 | 8% |
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 20 September 2014.
All research outputs
#14,429,961
of 23,577,761 outputs
Outputs from BMC Infectious Diseases
#3,652
of 7,854 outputs
Outputs of similar age
#127,099
of 251,220 outputs
Outputs of similar age from BMC Infectious Diseases
#71
of 151 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 has gotten more attention than average, scoring higher than 51% 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 251,220 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 151 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 50% of its contemporaries.