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X Demographics
Mendeley readers
Attention Score in Context
| 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 | 28 | 49% |
| United Kingdom | 5 | 9% |
| Canada | 4 | 7% |
| India | 2 | 4% |
| Turkey | 2 | 4% |
| Unknown | 16 | 28% |
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 525 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 | 515 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 52 | 10% |
| Other | 50 | 10% |
| Student > Master | 43 | 8% |
| Student > Doctoral Student | 31 | 6% |
| Student > Bachelor | 30 | 6% |
| Other | 92 | 18% |
| Unknown | 227 | 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 | 55 | 10% |
| Unknown | 242 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 356. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2023.
All research outputs
#91,514
of 25,641,627 outputs
Outputs from PLOS ONE
#1,501
of 223,826 outputs
Outputs of similar age
#608
of 224,212 outputs
Outputs of similar age from PLOS ONE
#32
of 5,142 outputs
Altmetric has tracked 25,641,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 223,826 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 224,212 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 5,142 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.