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Mendeley readers
Title |
OWL model of clinical trial eligibility criteria compatible with partially-known information
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Published in |
Journal of Biomedical Semantics, September 2013
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DOI | 10.1186/2041-1480-4-17 |
Pubmed ID | |
Authors |
Olivier Dameron, Paolo Besana, Oussama Zekri, Annabel Bourdé, Anita Burgun, Marc Cuggia |
Abstract |
Clinical trials are important for patients, for researchers and for companies. One of the major bottlenecks is patient recruitment. This task requires the matching of a large volume of information about the patient with numerous eligibility criteria, in a logically-complex combination. Moreover, some of the patient's information necessary to determine the status of the eligibility criteria may not be available at the time of pre-screening. |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 3% |
Netherlands | 1 | 3% |
France | 1 | 3% |
Brazil | 1 | 3% |
Finland | 1 | 3% |
United Kingdom | 1 | 3% |
Belgium | 1 | 3% |
United States | 1 | 3% |
Unknown | 30 | 79% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 24% |
Student > Ph. D. Student | 6 | 16% |
Student > Master | 6 | 16% |
Student > Postgraduate | 4 | 11% |
Professor > Associate Professor | 3 | 8% |
Other | 6 | 16% |
Unknown | 4 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 55% |
Medicine and Dentistry | 4 | 11% |
Agricultural and Biological Sciences | 3 | 8% |
Social Sciences | 3 | 8% |
Economics, Econometrics and Finance | 1 | 3% |
Other | 3 | 8% |
Unknown | 3 | 8% |