Title |
Coauthorship and Institutional Collaborations on Cost-Effectiveness Analyses: A Systematic Network Analysis
|
---|---|
Published in |
PLOS ONE, May 2012
|
DOI | 10.1371/journal.pone.0038012 |
Pubmed ID | |
Authors |
Ferrán Catalá-López, Adolfo Alonso-Arroyo, Rafael Aleixandre-Benavent, Manuel Ridao, Máxima Bolaños, Anna García-Altés, Gabriel Sanfélix-Gimeno, Salvador Peiró |
Abstract |
Cost-Effectiveness Analysis (CEA) has been promoted as an important research methodology for determining the efficiency of healthcare technology and guiding medical decision-making. Our aim was to characterize the collaborative patterns of CEA conducted over the past two decades in Spain. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Spain | 1 | 25% |
Comoros | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 3% |
United States | 2 | 2% |
United Kingdom | 1 | 1% |
Greece | 1 | 1% |
Portugal | 1 | 1% |
Unknown | 82 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 15 | 17% |
Librarian | 10 | 11% |
Student > Master | 8 | 9% |
Student > Ph. D. Student | 7 | 8% |
Other | 4 | 4% |
Other | 19 | 21% |
Unknown | 27 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 15 | 17% |
Social Sciences | 13 | 14% |
Computer Science | 8 | 9% |
Nursing and Health Professions | 5 | 6% |
Agricultural and Biological Sciences | 3 | 3% |
Other | 17 | 19% |
Unknown | 29 | 32% |