| Title |
EyeMap: a software system for visualizing and analyzing eye movement data in reading
|
|---|---|
| Published in |
Behavior Research Methods, October 2011
|
| DOI | 10.3758/s13428-011-0156-y |
| Pubmed ID | |
| Authors |
Siliang Tang, Ronan G. Reilly, Christian Vorstius |
| Abstract |
We have developed EyeMap, a freely available software system for visualizing and analyzing eye movement data specifically in the area of reading research. As compared with similar systems, including commercial ones, EyeMap has more advanced features for text stimulus presentation, interest area extraction, eye movement data visualization, and experimental variable calculation. It is unique in supporting binocular data analysis for unicode, proportional, and nonproportional fonts and spaced and unspaced scripts. Consequently, it is well suited for research on a wide range of writing systems. To date, it has been used with English, German, Thai, Korean, and Chinese. EyeMap is platform independent and can also work on mobile devices. An important contribution of the EyeMap project is a device-independent XML data format for describing data from a wide range of reading experiments. An online version of EyeMap allows researchers to analyze and visualize reading data through a standard Web browser. This facility could, for example, serve as a front-end for online eye movement data corpora. |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 3% |
| Italy | 1 | 1% |
| Germany | 1 | 1% |
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 63 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 29% |
| Student > Master | 9 | 13% |
| Researcher | 8 | 12% |
| Student > Doctoral Student | 6 | 9% |
| Student > Postgraduate | 4 | 6% |
| Other | 17 | 25% |
| Unknown | 5 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 17 | 25% |
| Computer Science | 13 | 19% |
| Social Sciences | 9 | 13% |
| Linguistics | 4 | 6% |
| Neuroscience | 4 | 6% |
| Other | 16 | 23% |
| Unknown | 6 | 9% |
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 19 February 2020.
All research outputs
#14,277,392
of 25,373,627 outputs
Outputs from Behavior Research Methods
#1,267
of 2,525 outputs
Outputs of similar age
#91,032
of 148,228 outputs
Outputs of similar age from Behavior Research Methods
#5
of 13 outputs
Altmetric has tracked 25,373,627 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 8.1. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13 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.