↓ Skip to main content
Embed badge What is this page?

nodeGame: Real-time, synchronous, online experiments in the browser

Overview of attention for article published in Behavior Research Methods, November 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
3 tweeters
facebook
1 Facebook page

Readers on

mendeley
18 Mendeley

What is this page?

Summary Twitter Facebook
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
27864814
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 .

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 6%
United States 1 6%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 39%
Researcher 4 22%
Student > Master 3 17%
Student > Postgraduate 1 6%
Other 1 6%
Other 2 11%
Readers by discipline Count As %
Psychology 12 67%
Computer Science 3 17%
Unspecified 1 6%
Decision Sciences 1 6%
Social Sciences 1 6%
Other 0 0%

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 18 October 2017.
All research outputs
#5,193,683
of 9,693,658 outputs
Outputs from Behavior Research Methods
#406
of 833 outputs
Outputs of similar age
#159,107
of 316,529 outputs
Outputs of similar age from Behavior Research Methods
#11
of 31 outputs
Altmetric has tracked 9,693,658 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 833 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 48th percentile – i.e., 48% 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 316,529 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
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 gotten more attention than average, scoring higher than 61% of its contemporaries.

This page is provided by Altmetric.