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Modeling the impact of air, sea, and land travel restrictions supplemented by other interventions on the emergence of a new influenza pandemic virus

Overview of attention for article published in BMC Infectious Diseases, November 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
2 news outlets
policy
1 policy source
twitter
5 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
75 Mendeley
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Title
Modeling the impact of air, sea, and land travel restrictions supplemented by other interventions on the emergence of a new influenza pandemic virus
Published in
BMC Infectious Diseases, November 2012
DOI 10.1186/1471-2334-12-309
Pubmed ID
Authors

Ka Chun Chong, Benny Chung Ying Zee

Abstract

During the early stages of a new influenza pandemic, travel restriction is an immediate and non-pharmaceutical means of retarding incidence growth. It extends the time frame of effective mitigation, especially when the characteristics of the emerging virus are unknown. In the present study, we used the 2009 influenza A pandemic as a case study to evaluate the impact of regulating air, sea, and land transport. Other government strategies, namely, antivirals and hospitalizations, were also evaluated.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 16%
Student > Master 12 16%
Student > Ph. D. Student 11 15%
Student > Bachelor 9 12%
Student > Doctoral Student 5 7%
Other 12 16%
Unknown 14 19%
Readers by discipline Count As %
Medicine and Dentistry 16 21%
Agricultural and Biological Sciences 8 11%
Social Sciences 6 8%
Nursing and Health Professions 4 5%
Business, Management and Accounting 4 5%
Other 19 25%
Unknown 18 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 April 2020.
All research outputs
#1,074,982
of 18,454,256 outputs
Outputs from BMC Infectious Diseases
#207
of 6,450 outputs
Outputs of similar age
#12,880
of 266,760 outputs
Outputs of similar age from BMC Infectious Diseases
#9
of 398 outputs
Altmetric has tracked 18,454,256 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,450 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has done particularly well, scoring higher than 96% 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 266,760 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 95% of its contemporaries.
We're also able to compare this research output to 398 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 97% of its contemporaries.