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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Scaling up the evaluation of psychotherapy: evaluating motivational interviewing fidelity via statistical text classification
|
|---|---|
| Published in |
Implementation Science, April 2014
|
| DOI | 10.1186/1748-5908-9-49 |
| Pubmed ID | |
| Authors |
David C Atkins, Mark Steyvers, Zac E Imel, Padhraic Smyth |
| Abstract |
Behavioral interventions such as psychotherapy are leading, evidence-based practices for a variety of problems (e.g., substance abuse), but the evaluation of provider fidelity to behavioral interventions is limited by the need for human judgment. The current study evaluated the accuracy of statistical text classification in replicating human-based judgments of provider fidelity in one specific psychotherapy--motivational interviewing (MI). |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 18% |
| United States | 2 | 18% |
| Ireland | 1 | 9% |
| Japan | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 45% |
| Scientists | 4 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 137 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 20% |
| Student > Ph. D. Student | 23 | 17% |
| Student > Master | 17 | 12% |
| Student > Doctoral Student | 12 | 9% |
| Student > Postgraduate | 7 | 5% |
| Other | 16 | 12% |
| Unknown | 36 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 48 | 35% |
| Computer Science | 17 | 12% |
| Medicine and Dentistry | 9 | 6% |
| Social Sciences | 9 | 6% |
| Nursing and Health Professions | 5 | 4% |
| Other | 13 | 9% |
| Unknown | 38 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 08 January 2022.
All research outputs
#5,399,970
of 22,835,198 outputs
Outputs from Implementation Science
#932
of 1,721 outputs
Outputs of similar age
#50,384
of 227,149 outputs
Outputs of similar age from Implementation Science
#22
of 40 outputs
Altmetric has tracked 22,835,198 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,721 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 45th percentile – i.e., 45% 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 227,149 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 77% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.