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Game On, Science - How Video Game Technology May Help Biologists Tackle Visualization Challenges

Overview of attention for article published in PLOS ONE, March 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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29 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

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197 Dimensions

Readers on

mendeley
202 Mendeley
citeulike
5 CiteULike
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Title
Game On, Science - How Video Game Technology May Help Biologists Tackle Visualization Challenges
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0057990
Pubmed ID
Authors

Zhihan Lv, Alex Tek, Franck Da Silva, Charly Empereur-mot, Matthieu Chavent, Marc Baaden

Abstract

The video games industry develops ever more advanced technologies to improve rendering, image quality, ergonomics and user experience of their creations providing very simple to use tools to design new games. In the molecular sciences, only a small number of experts with specialized know-how are able to design interactive visualization applications, typically static computer programs that cannot easily be modified. Are there lessons to be learned from video games? Could their technology help us explore new molecular graphics ideas and render graphics developments accessible to non-specialists? This approach points to an extension of open computer programs, not only providing access to the source code, but also delivering an easily modifiable and extensible scientific research tool. In this work, we will explore these questions using the Unity3D game engine to develop and prototype a biological network and molecular visualization application for subsequent use in research or education. We have compared several routines to represent spheres and links between them, using either built-in Unity3D features or our own implementation. These developments resulted in a stand-alone viewer capable of displaying molecular structures, surfaces, animated electrostatic field lines and biological networks with powerful, artistic and illustrative rendering methods. We consider this work as a proof of principle demonstrating that the functionalities of classical viewers and more advanced novel features could be implemented in substantially less time and with less development effort. Our prototype is easily modifiable and extensible and may serve others as starting point and platform for their developments. A webserver example, standalone versions for MacOS X, Linux and Windows, source code, screen shots, videos and documentation are available at the address: http://unitymol.sourceforge.net/.

X Demographics

X Demographics

The data shown below were collected from the profiles of 29 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
France 2 <1%
Spain 2 <1%
Malaysia 1 <1%
Germany 1 <1%
South Africa 1 <1%
Portugal 1 <1%
Norway 1 <1%
United States 1 <1%
Other 0 0%
Unknown 188 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 19%
Student > Master 37 18%
Researcher 29 14%
Student > Bachelor 20 10%
Professor 11 5%
Other 37 18%
Unknown 30 15%
Readers by discipline Count As %
Computer Science 36 18%
Agricultural and Biological Sciences 32 16%
Biochemistry, Genetics and Molecular Biology 19 9%
Chemistry 13 6%
Engineering 13 6%
Other 55 27%
Unknown 34 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 23. 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 01 May 2023.
All research outputs
#1,689,204
of 25,918,061 outputs
Outputs from PLOS ONE
#20,618
of 226,161 outputs
Outputs of similar age
#12,763
of 208,900 outputs
Outputs of similar age from PLOS ONE
#471
of 5,412 outputs
Altmetric has tracked 25,918,061 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 226,161 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one has done particularly well, scoring higher than 90% 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 208,900 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 5,412 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.