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OGAMA (Open Gaze and Mouse Analyzer): Open-source software designed to analyze eye and mouse movements in slideshow study designs

Overview of attention for article published in Behavior Research Methods, November 2008
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1 Wikipedia page

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166 Mendeley
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Title
OGAMA (Open Gaze and Mouse Analyzer): Open-source software designed to analyze eye and mouse movements in slideshow study designs
Published in
Behavior Research Methods, November 2008
DOI 10.3758/brm.40.4.1150
Pubmed ID
Authors

Adrian Voßkühler, Volkhard Nordmeier, Lars Kuchinke, Arthur M. Jacobs

Abstract

In the present article, a new software is introduced that allows the recording and analyzing of eye- and mouse-tracking data from slideshow-based experiments in parallel. The Open Gaze and Mouse Analyzer (OGAMA) is written in C#.NET and has been released as an open-source project. Its main features include slideshow design, the recording of gaze and mouse data, database-driven preprocessing and filtering of gaze and mouse data, the creation of attention maps, areas-of-interest definition, and replay. Eyetracking and/or presentation soft- and hardware recordings in ASCII format can be imported. Data output is provided that can be used directly with different statistical software packages. Because it is open source, one can easily adapt it to suit one's needs.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 3 2%
Germany 2 1%
Spain 2 1%
Portugal 1 <1%
Czechia 1 <1%
Canada 1 <1%
Korea, Republic of 1 <1%
Denmark 1 <1%
Other 3 2%
Unknown 148 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 25%
Student > Master 27 16%
Researcher 21 13%
Student > Doctoral Student 12 7%
Professor > Associate Professor 10 6%
Other 32 19%
Unknown 23 14%
Readers by discipline Count As %
Computer Science 41 25%
Psychology 29 17%
Engineering 15 9%
Business, Management and Accounting 9 5%
Medicine and Dentistry 5 3%
Other 30 18%
Unknown 37 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 21 December 2016.
All research outputs
#8,535,472
of 25,374,917 outputs
Outputs from Behavior Research Methods
#1,037
of 2,525 outputs
Outputs of similar age
#37,392
of 105,270 outputs
Outputs of similar age from Behavior Research Methods
#1
of 5 outputs
Altmetric has tracked 25,374,917 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 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 50% of its peers.
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 105,270 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them