| Title |
psiTurk: An open-source framework for conducting replicable behavioral experiments online
|
|---|---|
| Published in |
Behavior Research Methods, October 2015
|
| DOI | 10.3758/s13428-015-0642-8 |
| Pubmed ID | |
| Authors |
Todd M. Gureckis, Jay Martin, John McDonnell, Alexander S. Rich, Doug Markant, Anna Coenen, David Halpern, Jessica B. Hamrick, Patricia Chan |
| Abstract |
Online data collection has begun to revolutionize the behavioral sciences. However, conducting carefully controlled behavioral experiments online introduces a number of new of technical and scientific challenges. The project described in this paper, psiTurk, is an open-source platform which helps researchers develop experiment designs which can be conducted over the Internet. The tool primarily interfaces with Amazon's Mechanical Turk, a popular crowd-sourcing labor market. This paper describes the basic architecture of the system and introduces new users to the overall goals. psiTurk aims to reduce the technical hurdles for researchers developing online experiments while improving the transparency and collaborative nature of the behavioral sciences. |
X Demographics
The data shown below were collected from the profiles of 12 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 | 4 | 33% |
| United Kingdom | 1 | 8% |
| Spain | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Scientists | 4 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Spain | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 169 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 54 | 31% |
| Researcher | 23 | 13% |
| Student > Master | 20 | 11% |
| Student > Bachelor | 15 | 9% |
| Professor > Associate Professor | 9 | 5% |
| Other | 29 | 17% |
| Unknown | 25 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 71 | 41% |
| Computer Science | 17 | 10% |
| Neuroscience | 11 | 6% |
| Business, Management and Accounting | 6 | 3% |
| Social Sciences | 6 | 3% |
| Other | 29 | 17% |
| Unknown | 35 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 02 September 2016.
All research outputs
#4,807,943
of 25,371,288 outputs
Outputs from Behavior Research Methods
#667
of 2,524 outputs
Outputs of similar age
#58,400
of 286,873 outputs
Outputs of similar age from Behavior Research Methods
#6
of 40 outputs
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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 has done well, scoring higher than 85% of its contemporaries.