Title |
Script Concordance Tests: Guidelines for Construction
|
---|---|
Published in |
BMC Medical Informatics and Decision Making, May 2008
|
DOI | 10.1186/1472-6947-8-18 |
Pubmed ID | |
Authors |
Jean Paul Fournier, Anne Demeester, Bernard Charlin |
Abstract |
SCT is used to assess clinical reasoning in ambiguous or uncertain situations. It allows testing on real-life situations that are not adequately measured with current tests. It probes the multiple judgments that are made in the clinical reasoning process. Scoring reflects the degree of concordance of these judgments to those of a panel of reference experts. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 4 | 44% |
France | 1 | 11% |
United Kingdom | 1 | 11% |
India | 1 | 11% |
Unknown | 2 | 22% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 56% |
Practitioners (doctors, other healthcare professionals) | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Canada | 2 | <1% |
Indonesia | 1 | <1% |
Chile | 1 | <1% |
Bolivia, Plurinational State of | 1 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
Turkey | 1 | <1% |
France | 1 | <1% |
Other | 3 | 1% |
Unknown | 243 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 34 | 13% |
Student > Master | 31 | 12% |
Professor | 30 | 12% |
Professor > Associate Professor | 27 | 10% |
Student > Ph. D. Student | 23 | 9% |
Other | 88 | 34% |
Unknown | 26 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 137 | 53% |
Social Sciences | 26 | 10% |
Nursing and Health Professions | 23 | 9% |
Computer Science | 9 | 3% |
Psychology | 6 | 2% |
Other | 26 | 10% |
Unknown | 32 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 13 December 2017.
All research outputs
#4,538,327
of 22,715,151 outputs
Outputs from BMC Medical Informatics and Decision Making
#406
of 1,982 outputs
Outputs of similar age
#14,816
of 78,640 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#2
of 9 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 79% 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 78,640 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.