Title |
Boolean versus ranked querying for biomedical systematic reviews
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, October 2010
|
DOI | 10.1186/1472-6947-10-58 |
Pubmed ID | |
Authors |
Sarvnaz Karimi, Stefan Pohl, Falk Scholer, Lawrence Cavedon, Justin Zobel |
Abstract |
The process of constructing a systematic review, a document that compiles the published evidence pertaining to a specified medical topic, is intensely time-consuming, often taking a team of researchers over a year, with the identification of relevant published research comprising a substantial portion of the effort. The standard paradigm for this information-seeking task is to use Boolean search; however, this leaves the user(s) the requirement of examining every returned result. Further, our experience is that effective Boolean queries for this specific task are extremely difficult to formulate and typically require multiple iterations of refinement before being finalized. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Singapore | 1 | 50% |
India | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 4 | 4% |
United States | 3 | 3% |
United Kingdom | 1 | 1% |
Denmark | 1 | 1% |
Australia | 1 | 1% |
Unknown | 90 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 18% |
Student > Bachelor | 16 | 16% |
Student > Ph. D. Student | 12 | 12% |
Researcher | 10 | 10% |
Librarian | 9 | 9% |
Other | 12 | 12% |
Unknown | 23 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 20 | 20% |
Medicine and Dentistry | 19 | 19% |
Nursing and Health Professions | 12 | 12% |
Social Sciences | 7 | 7% |
Agricultural and Biological Sciences | 3 | 3% |
Other | 14 | 14% |
Unknown | 25 | 25% |