| Title |
Dynamic modelling of costs and health consequences of school closure during an influenza pandemic
|
|---|---|
| Published in |
BMC Public Health, November 2012
|
| DOI | 10.1186/1471-2458-12-962 |
| Pubmed ID | |
| Authors |
Yiting Xue, Ivar Sønbø Kristiansen, Birgitte Freiesleben de Blasio |
| Abstract |
The purpose of this article is to evaluate the cost-effectiveness of school closure during a potential influenza pandemic and to examine the trade-off between costs and health benefits for school closure involving different target groups and different closure durations. |
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 % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Japan | 1 | 2% |
| Venezuela, Bolivarian Republic of | 1 | 2% |
| Unknown | 61 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 22% |
| Student > Ph. D. Student | 6 | 9% |
| Student > Master | 6 | 9% |
| Student > Bachelor | 5 | 8% |
| Student > Doctoral Student | 3 | 5% |
| Other | 7 | 11% |
| Unknown | 24 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 15% |
| Economics, Econometrics and Finance | 5 | 8% |
| Agricultural and Biological Sciences | 5 | 8% |
| Mathematics | 4 | 6% |
| Psychology | 3 | 5% |
| Other | 12 | 18% |
| Unknown | 26 | 40% |
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 15 November 2012.
All research outputs
#18,616,159
of 23,881,329 outputs
Outputs from BMC Public Health
#12,943
of 15,466 outputs
Outputs of similar age
#135,508
of 184,224 outputs
Outputs of similar age from BMC Public Health
#227
of 274 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 15,466 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.3. This one is in the 13th percentile – i.e., 13% 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 184,224 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 274 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.