| Title |
The Database for Aggregate Analysis of ClinicalTrials.gov (AACT) and Subsequent Regrouping by Clinical Specialty
|
|---|---|
| Published in |
PLOS ONE, March 2012
|
| DOI | 10.1371/journal.pone.0033677 |
| Pubmed ID | |
| Authors |
Asba Tasneem, Laura Aberle, Hari Ananth, Swati Chakraborty, Karen Chiswell, Brian J. McCourt, Ricardo Pietrobon |
| Abstract |
The ClinicalTrials.gov registry provides information regarding characteristics of past, current, and planned clinical studies to patients, clinicians, and researchers; in addition, registry data are available for bulk download. However, issues related to data structure, nomenclature, and changes in data collection over time present challenges to the aggregate analysis and interpretation of these data in general and to the analysis of trials according to clinical specialty in particular. Improving usability of these data could enhance the utility of ClinicalTrials.gov as a research resource. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Comoros | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 3% |
| United Kingdom | 2 | 2% |
| Australia | 2 | 2% |
| Unknown | 107 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 23% |
| Student > Ph. D. Student | 20 | 18% |
| Student > Master | 14 | 12% |
| Student > Bachelor | 10 | 9% |
| Student > Doctoral Student | 7 | 6% |
| Other | 23 | 20% |
| Unknown | 14 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 19% |
| Computer Science | 19 | 17% |
| Engineering | 10 | 9% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Pharmacology, Toxicology and Pharmaceutical Science | 7 | 6% |
| Other | 31 | 27% |
| Unknown | 17 | 15% |