| Title |
Does Prevalence Matter to Physicians in Estimating Post-test Probability of Disease? A Randomized Trial
|
|---|---|
| Published in |
Journal of General Internal Medicine, November 2010
|
| DOI | 10.1007/s11606-010-1540-5 |
| Pubmed ID | |
| Authors |
Thomas Agoritsas, Delphine S. Courvoisier, Christophe Combescure, Marie Deom, Thomas V. Perneger |
| Abstract |
The probability of a disease following a diagnostic test depends on the sensitivity and specificity of the test, but also on the prevalence of the disease in the population of interest (or pre-test probability). How physicians use this information is not well known. |
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 Kingdom | 1 | 25% |
| Ireland | 1 | 25% |
| United States | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 4% |
| United Kingdom | 1 | 2% |
| Unknown | 51 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Professor > Associate Professor | 7 | 13% |
| Student > Master | 7 | 13% |
| Student > Bachelor | 5 | 9% |
| Other | 5 | 9% |
| Other | 14 | 26% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 50% |
| Psychology | 10 | 19% |
| Engineering | 2 | 4% |
| Chemistry | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 5 | 9% |
| Unknown | 6 | 11% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 28 October 2022.
All research outputs
#2,576,708
of 23,911,072 outputs
Outputs from Journal of General Internal Medicine
#1,933
of 7,806 outputs
Outputs of similar age
#10,279
of 103,240 outputs
Outputs of similar age from Journal of General Internal Medicine
#13
of 44 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,806 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done well, scoring higher than 75% 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 103,240 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 90% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.