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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The impact of mass gatherings and holiday traveling on the course of an influenza pandemic: a computational model
|
|---|---|
| Published in |
BMC Public Health, December 2010
|
| DOI | 10.1186/1471-2458-10-778 |
| Pubmed ID | |
| Authors |
Pengyi Shi, Pinar Keskinocak, Julie L Swann, Bruce Y Lee |
| Abstract |
During the 2009 H1N1 influenza pandemic, concerns arose about the potential negative effects of mass public gatherings and travel on the course of the pandemic. Better understanding the potential effects of temporal changes in social mixing patterns could help public officials determine if and when to cancel large public gatherings or enforce regional travel restrictions, advisories, or surveillance during an epidemic. |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 4 | 25% |
| United States | 2 | 13% |
| Venezuela, Bolivarian Republic of | 1 | 6% |
| Germany | 1 | 6% |
| Unknown | 8 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 94% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Taiwan | 1 | 1% |
| Brazil | 1 | 1% |
| Unknown | 81 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 20% |
| Researcher | 13 | 15% |
| Student > Master | 9 | 11% |
| Professor > Associate Professor | 7 | 8% |
| Student > Bachelor | 6 | 7% |
| Other | 12 | 14% |
| Unknown | 21 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 22% |
| Agricultural and Biological Sciences | 9 | 11% |
| Computer Science | 6 | 7% |
| Economics, Econometrics and Finance | 4 | 5% |
| Mathematics | 4 | 5% |
| Other | 19 | 22% |
| Unknown | 24 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 92. 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 27 November 2022.
All research outputs
#444,860
of 24,736,359 outputs
Outputs from BMC Public Health
#398
of 16,388 outputs
Outputs of similar age
#1,845
of 192,873 outputs
Outputs of similar age from BMC Public Health
#5
of 132 outputs
Altmetric has tracked 24,736,359 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,388 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 97% 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 192,873 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 99% of its contemporaries.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.