| Title |
nodeGame: Real-time, synchronous, online experiments in the browser
|
|---|---|
| Published in |
Behavior Research Methods, November 2016
|
| DOI | 10.3758/s13428-016-0824-z |
| Pubmed ID | |
| Authors |
Stefano Balietti |
| Abstract |
nodeGame is a free, open-source JavaScript/ HTML5 framework for conducting synchronous experiments online and in the lab directly in the browser window. It is specifically designed to support behavioral research along three dimensions: (i) larger group sizes, (ii) real-time (but also discrete time) experiments, and (iii) batches of simultaneous experiments. nodeGame has a modular source code, and defines an API (application programming interface) through which experimenters can create new strategic environments and configure the platform. With zero-install, nodeGame can run on a great variety of devices, from desktop computers to laptops, smartphones, and tablets. The current version of the software is 3.0, and extensive documentation is available on the wiki pages at http://nodegame.org . |
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 % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Switzerland | 1 | 2% |
| Unknown | 40 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 8 | 19% |
| Student > Master | 6 | 14% |
| Student > Doctoral Student | 4 | 10% |
| Other | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 7 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 11 | 26% |
| Economics, Econometrics and Finance | 5 | 12% |
| Computer Science | 5 | 12% |
| Social Sciences | 3 | 7% |
| Business, Management and Accounting | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 8 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 29 February 2020.
All research outputs
#7,047,954
of 25,374,917 outputs
Outputs from Behavior Research Methods
#868
of 2,525 outputs
Outputs of similar age
#116,363
of 415,801 outputs
Outputs of similar age from Behavior Research Methods
#7
of 31 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,525 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 65% of its peers.
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We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.