↓ Skip to main content

Developing open source, self-contained disease surveillance software applications for use in resource-limited settings

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
100 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Developing open source, self-contained disease surveillance software applications for use in resource-limited settings
Published in
BMC Medical Informatics and Decision Making, September 2012
DOI 10.1186/1472-6947-12-99
Pubmed ID
Authors

Timothy C Campbell, Charles J Hodanics, Steven M Babin, Adjoa M Poku, Richard A Wojcik, Joseph F Skora, Jacqueline S Coberly, Zarna S Mistry, Sheri H Lewis

Abstract

Emerging public health threats often originate in resource-limited countries. In recognition of this fact, the World Health Organization issued revised International Health Regulations in 2005, which call for significantly increased reporting and response capabilities for all signatory nations. Electronic biosurveillance systems can improve the timeliness of public health data collection, aid in the early detection of and response to disease outbreaks, and enhance situational awareness.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 1%
Canada 1 1%
Unknown 96 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 16%
Student > Master 16 16%
Student > Bachelor 13 13%
Student > Ph. D. Student 12 12%
Student > Doctoral Student 9 9%
Other 24 24%
Unknown 10 10%
Readers by discipline Count As %
Medicine and Dentistry 26 26%
Computer Science 17 17%
Nursing and Health Professions 8 8%
Agricultural and Biological Sciences 7 7%
Social Sciences 7 7%
Other 17 17%
Unknown 18 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 14 September 2012.
All research outputs
#7,161,399
of 12,409,138 outputs
Outputs from BMC Medical Informatics and Decision Making
#659
of 1,122 outputs
Outputs of similar age
#62,128
of 125,373 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 6 outputs
Altmetric has tracked 12,409,138 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 35th percentile – i.e., 35% 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 125,373 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.