Title |
Assessing the Quality of Decision Support Technologies Using the International Patient Decision Aid Standards instrument (IPDASi)
|
---|---|
Published in |
PLOS ONE, March 2009
|
DOI | 10.1371/journal.pone.0004705 |
Pubmed ID | |
Authors |
Glyn Elwyn, Annette M. O'Connor, Carol Bennett, Robert G. Newcombe, Mary Politi, Marie-Anne Durand, Elizabeth Drake, Natalie Joseph-Williams, Sara Khangura, Anton Saarimaki, Stephanie Sivell, Mareike Stiel, Steven J. Bernstein, Nananda Col, Angela Coulter, Karen Eden, Martin Härter, Margaret Holmes Rovner, Nora Moumjid, Dawn Stacey, Richard Thomson, Tim Whelan, Trudy van der Weijden, Adrian Edwards |
Mendeley readers
The data shown below were compiled from readership statistics for 372 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 2% |
United Kingdom | 3 | <1% |
Canada | 2 | <1% |
Spain | 2 | <1% |
Argentina | 1 | <1% |
Ireland | 1 | <1% |
Netherlands | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 353 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 68 | 18% |
Student > Ph. D. Student | 58 | 16% |
Student > Master | 57 | 15% |
Professor > Associate Professor | 26 | 7% |
Other | 25 | 7% |
Other | 80 | 22% |
Unknown | 58 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 132 | 35% |
Psychology | 32 | 9% |
Nursing and Health Professions | 30 | 8% |
Social Sciences | 27 | 7% |
Computer Science | 18 | 5% |
Other | 48 | 13% |
Unknown | 85 | 23% |