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Enhanced health event detection and influenza surveillance using a joint Veterans Affairs and Department of Defense biosurveillance application

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2011
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

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4 X users
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1 Facebook page

Citations

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14 Dimensions

Readers on

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43 Mendeley
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1 CiteULike
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Title
Enhanced health event detection and influenza surveillance using a joint Veterans Affairs and Department of Defense biosurveillance application
Published in
BMC Medical Informatics and Decision Making, September 2011
DOI 10.1186/1472-6947-11-56
Pubmed ID
Authors

Cynthia A Lucero, Gina Oda, Kenneth Cox, Frank Maldonado, Joseph Lombardo, Richard Wojcik, Mark Holodniy

Abstract

The establishment of robust biosurveillance capabilities is an important component of the U.S. strategy for identifying disease outbreaks, environmental exposures and bioterrorism events. Currently, U.S. Departments of Defense (DoD) and Veterans Affairs (VA) perform biosurveillance independently. This article describes a joint VA/DoD biosurveillance project at North Chicago-VA Medical Center (NC-VAMC). The Naval Health Clinics-Great Lakes facility physically merged with NC-VAMC beginning in 2006 with the full merger completed in October 2010 at which time all DoD care and medical personnel had relocated to the expanded and remodeled NC-VAMC campus and the combined facility was renamed the Lovell Federal Health Care Center (FHCC). The goal of this study was to evaluate disease surveillance using a biosurveillance application which combined data from both populations.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 42 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 16%
Student > Ph. D. Student 6 14%
Student > Bachelor 6 14%
Researcher 5 12%
Lecturer 2 5%
Other 11 26%
Unknown 6 14%
Readers by discipline Count As %
Medicine and Dentistry 9 21%
Agricultural and Biological Sciences 6 14%
Computer Science 4 9%
Social Sciences 3 7%
Environmental Science 2 5%
Other 9 21%
Unknown 10 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 22 April 2013.
All research outputs
#14,330,912
of 25,284,710 outputs
Outputs from BMC Medical Informatics and Decision Making
#918
of 2,138 outputs
Outputs of similar age
#85,657
of 136,095 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 13 outputs
Altmetric has tracked 25,284,710 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,138 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 56% 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 136,095 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.