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Integrating open-source technologies to build low-cost information systems for improved access to public health data

Overview of attention for article published in International Journal of Health Geographics, June 2008
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3 X users
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Citations

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131 Mendeley
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2 CiteULike
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2 Connotea
Title
Integrating open-source technologies to build low-cost information systems for improved access to public health data
Published in
International Journal of Health Geographics, June 2008
DOI 10.1186/1476-072x-7-29
Pubmed ID
Authors

Qian Yi, Richard E Hoskins, Elizabeth A Hillringhouse, Svend S Sorensen, Mark W Oberle, Sherrilynne S Fuller, James C Wallace

Abstract

Effective public health practice relies on the availability of public health data sources and assessment tools to convey information to investigators, practitioners, policy makers, and the general public. Emerging communication technologies on the Internet can deliver all components of the "who, what, when, and where" quartet more quickly than ever with a potentially higher level of quality and assurance, using new analysis and visualization tools. Open-source software provides the opportunity to build low-cost information systems allowing health departments with modest resources access to modern data analysis and visualization tools. In this paper, we integrate open-source technologies and public health data to create a web information system which is accessible to a wide audience through the Internet. Our web application, "EpiVue," was tested using two public health datasets from the Washington State Cancer Registry and Washington State Center for Health Statistics. A third dataset shows the extensibility and scalability of EpiVue in displaying gender-based longevity statistics over a twenty-year interval for 3,143 United States counties. In addition to providing an integrated visualization framework, EpiVue's highly interactive web environment empowers users by allowing them to upload their own geospatial public health data in either comma-separated text files or MS Excel spreadsheet files and visualize the geospatial datasets with Google Maps.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Canada 5 4%
United Kingdom 3 2%
Brazil 2 2%
Italy 1 <1%
Ghana 1 <1%
India 1 <1%
Malaysia 1 <1%
Portugal 1 <1%
Other 1 <1%
Unknown 109 83%

Demographic breakdown

Readers by professional status Count As %
Student > Master 27 21%
Researcher 25 19%
Student > Ph. D. Student 18 14%
Student > Postgraduate 8 6%
Professor > Associate Professor 8 6%
Other 32 24%
Unknown 13 10%
Readers by discipline Count As %
Medicine and Dentistry 34 26%
Computer Science 26 20%
Social Sciences 15 11%
Agricultural and Biological Sciences 7 5%
Engineering 4 3%
Other 26 20%
Unknown 19 15%
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 29 July 2016.
All research outputs
#13,017,254
of 22,694,633 outputs
Outputs from International Journal of Health Geographics
#340
of 627 outputs
Outputs of similar age
#67,229
of 81,989 outputs
Outputs of similar age from International Journal of Health Geographics
#4
of 4 outputs
Altmetric has tracked 22,694,633 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 627 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 45th percentile – i.e., 45% of its peers scored the same or lower than it.
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 81,989 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.