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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating the impact of school closure on social mixing behaviour and the transmission of close contact infections in eight European countries
|
|---|---|
| Published in |
BMC Infectious Diseases, November 2009
|
| DOI | 10.1186/1471-2334-9-187 |
| Pubmed ID | |
| Authors |
Niel Hens, Girma Minalu Ayele, Nele Goeyvaerts, Marc Aerts, Joel Mossong, John W Edmunds, Philippe Beutels |
| Abstract |
Mathematical modelling of infectious disease is increasingly used to help guide public health policy. As directly transmitted infections, such as influenza and tuberculosis, require contact between individuals, knowledge about contact patterns is a necessary pre-requisite of accurate model predictions. Of particular interest is the potential impact of school closure as a means of controlling pandemic influenza (and potentially other pathogens). |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 20% |
| Unknown | 4 | 80% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 7 | 3% |
| France | 3 | 1% |
| United States | 2 | <1% |
| Kenya | 2 | <1% |
| Australia | 2 | <1% |
| Japan | 2 | <1% |
| Canada | 2 | <1% |
| Brazil | 1 | <1% |
| Italy | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 184 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 49 | 24% |
| Student > Ph. D. Student | 36 | 17% |
| Student > Master | 29 | 14% |
| Professor > Associate Professor | 13 | 6% |
| Student > Doctoral Student | 9 | 4% |
| Other | 46 | 22% |
| Unknown | 26 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 51 | 25% |
| Mathematics | 26 | 13% |
| Agricultural and Biological Sciences | 19 | 9% |
| Social Sciences | 17 | 8% |
| Computer Science | 7 | 3% |
| Other | 37 | 18% |
| Unknown | 51 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 07 February 2023.
All research outputs
#2,318,771
of 26,017,215 outputs
Outputs from BMC Infectious Diseases
#654
of 8,702 outputs
Outputs of similar age
#10,523
of 184,373 outputs
Outputs of similar age from BMC Infectious Diseases
#4
of 23 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,702 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done particularly well, scoring higher than 92% 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 184,373 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.