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The epidemiology and surveillance response to pandemic influenza A (H1N1) among local health departments in the San Francisco Bay Area

Overview of attention for article published in BMC Public Health, March 2013
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
1 policy source
twitter
9 X users

Citations

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14 Dimensions

Readers on

mendeley
99 Mendeley
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Title
The epidemiology and surveillance response to pandemic influenza A (H1N1) among local health departments in the San Francisco Bay Area
Published in
BMC Public Health, March 2013
DOI 10.1186/1471-2458-13-276
Pubmed ID
Authors

Wayne TA Enanoria, Adam W Crawley, Winston Tseng, Jasmine Furnish, Jeannie Balido, Tomás J Aragón

Abstract

Public health surveillance and epidemiologic investigations are critical public health functions for identifying threats to the health of a community. Very little is known about how these functions are conducted at the local level. The purpose of the Epidemiology Networks in Action (EpiNet) Study was to describe the epidemiology and surveillance response to the 2009 pandemic influenza A (H1N1) by city and county health departments in the San Francisco Bay Area in California. The study also documented lessons learned from the response in order to strengthen future public health preparedness and response planning efforts in the region.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 98 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 20%
Student > Ph. D. Student 17 17%
Researcher 14 14%
Student > Bachelor 8 8%
Other 6 6%
Other 14 14%
Unknown 20 20%
Readers by discipline Count As %
Medicine and Dentistry 17 17%
Nursing and Health Professions 14 14%
Social Sciences 8 8%
Business, Management and Accounting 6 6%
Agricultural and Biological Sciences 5 5%
Other 23 23%
Unknown 26 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 21 April 2020.
All research outputs
#2,924,431
of 22,703,044 outputs
Outputs from BMC Public Health
#3,386
of 14,776 outputs
Outputs of similar age
#25,310
of 197,838 outputs
Outputs of similar age from BMC Public Health
#46
of 295 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,776 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 76% 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 197,838 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 295 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.