Title |
ExaCT: automatic extraction of clinical trial characteristics from journal publications
|
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Published in |
BMC Medical Informatics and Decision Making, September 2010
|
DOI | 10.1186/1472-6947-10-56 |
Pubmed ID | |
Authors |
Svetlana Kiritchenko, Berry de Bruijn, Simona Carini, Joel Martin, Ida Sim |
Abstract |
Clinical trials are one of the most important sources of evidence for guiding evidence-based practice and the design of new trials. However, most of this information is available only in free text - e.g., in journal publications - which is labour intensive to process for systematic reviews, meta-analyses, and other evidence synthesis studies. This paper presents an automatic information extraction system, called ExaCT, that assists users with locating and extracting key trial characteristics (e.g., eligibility criteria, sample size, drug dosage, primary outcomes) from full-text journal articles reporting on randomized controlled trials (RCTs). |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 7 | 37% |
Australia | 2 | 11% |
Canada | 1 | 5% |
India | 1 | 5% |
Unknown | 8 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 32% |
Scientists | 6 | 32% |
Practitioners (doctors, other healthcare professionals) | 5 | 26% |
Science communicators (journalists, bloggers, editors) | 2 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 3% |
Australia | 2 | 1% |
United States | 2 | 1% |
France | 1 | <1% |
Taiwan | 1 | <1% |
Germany | 1 | <1% |
Mexico | 1 | <1% |
Croatia | 1 | <1% |
Unknown | 145 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 21% |
Researcher | 32 | 20% |
Student > Master | 17 | 11% |
Professor > Associate Professor | 10 | 6% |
Student > Bachelor | 9 | 6% |
Other | 33 | 21% |
Unknown | 24 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 43 | 27% |
Medicine and Dentistry | 36 | 23% |
Agricultural and Biological Sciences | 14 | 9% |
Engineering | 7 | 4% |
Nursing and Health Professions | 5 | 3% |
Other | 22 | 14% |
Unknown | 31 | 20% |