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Adaptation of a web-based, open source electronic medical record system platform to support a large study of tuberculosis epidemiology

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2012
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Citations

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24 Dimensions

Readers on

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168 Mendeley
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2 CiteULike
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Title
Adaptation of a web-based, open source electronic medical record system platform to support a large study of tuberculosis epidemiology
Published in
BMC Medical Informatics and Decision Making, November 2012
DOI 10.1186/1472-6947-12-125
Pubmed ID
Authors

Hamish SF Fraser, David Thomas, Juan Tomaylla, Nadia Garcia, Leonid Lecca, Megan Murray, Mercedes C Becerra

Abstract

In 2006, we were funded by the US National Institutes of Health to implement a study of tuberculosis epidemiology in Peru. The study required a secure information system to manage data from a target goal of 16,000 subjects who needed to be followed for at least one year. With previous experience in the development and deployment of web-based medical record systems for TB treatment in Peru, we chose to use the OpenMRS open source electronic medical record system platform to develop the study information system. Supported by a core technical and management team and a large and growing worldwide community, OpenMRS is now being used in more than 40 developing countries. We adapted the OpenMRS platform to better support foreign languages. We added a new module to support double data entry, linkage to an existing laboratory information system, automatic upload of GPS data from handheld devices, and better security and auditing of data changes. We added new reports for study managers, and developed data extraction tools for research staff and statisticians. Further adaptation to handle direct entry of laboratory data occurred after the study was launched.

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 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
United Kingdom 3 2%
Indonesia 1 <1%
South Africa 1 <1%
Brazil 1 <1%
Pakistan 1 <1%
Belgium 1 <1%
Ukraine 1 <1%
Japan 1 <1%
Other 1 <1%
Unknown 153 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 35 21%
Researcher 30 18%
Student > Postgraduate 21 13%
Student > Bachelor 17 10%
Student > Ph. D. Student 11 7%
Other 33 20%
Unknown 21 13%
Readers by discipline Count As %
Medicine and Dentistry 49 29%
Computer Science 35 21%
Social Sciences 11 7%
Nursing and Health Professions 8 5%
Agricultural and Biological Sciences 6 4%
Other 27 16%
Unknown 32 19%
Attention Score in Context

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 05 August 2014.
All research outputs
#13,371,661
of 22,685,926 outputs
Outputs from BMC Medical Informatics and Decision Making
#979
of 1,979 outputs
Outputs of similar age
#99,678
of 183,514 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#26
of 43 outputs
Altmetric has tracked 22,685,926 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,979 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 47th percentile – i.e., 47% 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 183,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.