| Title |
Assessing Scientific Practices Using Machine-Learning Methods: How Closely Do They Match Clinical Interview Performance?
|
|---|---|
| Published in |
Journal of Science Education and Technology, July 2013
|
| DOI | 10.1007/s10956-013-9461-9 |
| Authors |
Elizabeth P. Beggrow, Minsu Ha, Ross H. Nehm, Dennis Pearl, William J. Boone |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| Spain | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 33% |
| Members of the public | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 6% |
| Unknown | 98 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 17% |
| Researcher | 18 | 17% |
| Student > Master | 11 | 11% |
| Lecturer | 6 | 6% |
| Professor > Associate Professor | 6 | 6% |
| Other | 22 | 21% |
| Unknown | 23 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 23 | 22% |
| Computer Science | 11 | 11% |
| Chemistry | 11 | 11% |
| Psychology | 7 | 7% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 22 | 21% |
| Unknown | 26 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 27 February 2015.
All research outputs
#15,399,703
of 24,876,519 outputs
Outputs from Journal of Science Education and Technology
#364
of 620 outputs
Outputs of similar age
#111,959
of 199,443 outputs
Outputs of similar age from Journal of Science Education and Technology
#4
of 8 outputs
Altmetric has tracked 24,876,519 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 620 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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 199,443 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.