| Title |
The Landscape of Inappropriate Laboratory Testing: A 15-Year Meta-Analysis
|
|---|---|
| Published in |
PLOS ONE, November 2013
|
| DOI | 10.1371/journal.pone.0078962 |
| Pubmed ID | |
| Authors |
Ming Zhi, Eric L. Ding, Jesse Theisen-Toupal, Julia Whelan, Ramy Arnaout |
| Abstract |
Laboratory testing is the single highest-volume medical activity and drives clinical decision-making across medicine. However, the overall landscape of inappropriate testing, which is thought to be dominated by repeat testing, is unclear. Systematic differences in initial vs. repeat testing, measurement criteria, and other factors would suggest new priorities for improving laboratory testing. |
X Demographics
The data shown below were collected from the profiles of 57 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 | 27 | 47% |
| United Kingdom | 5 | 9% |
| Canada | 4 | 7% |
| India | 2 | 4% |
| Turkey | 2 | 4% |
| Unknown | 17 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 28 | 49% |
| Practitioners (doctors, other healthcare professionals) | 20 | 35% |
| Scientists | 6 | 11% |
| Science communicators (journalists, bloggers, editors) | 3 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 524 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 1% |
| United Kingdom | 1 | <1% |
| Portugal | 1 | <1% |
| Mexico | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 514 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 51 | 10% |
| Other | 50 | 10% |
| Student > Master | 43 | 8% |
| Student > Doctoral Student | 31 | 6% |
| Student > Bachelor | 30 | 6% |
| Other | 94 | 18% |
| Unknown | 225 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 164 | 31% |
| Nursing and Health Professions | 21 | 4% |
| Biochemistry, Genetics and Molecular Biology | 17 | 3% |
| Agricultural and Biological Sciences | 15 | 3% |
| Computer Science | 11 | 2% |
| Other | 56 | 11% |
| Unknown | 240 | 46% |