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Evaluation and development of a novel binocular treatment (I-BiT™) system using video clips and interactive games to improve vision in children with amblyopia (‘lazy eye’): study protocol for a…

Overview of attention for article published in Trials, May 2013
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Title
Evaluation and development of a novel binocular treatment (I-BiT™) system using video clips and interactive games to improve vision in children with amblyopia (‘lazy eye’): study protocol for a randomised controlled trial
Published in
Trials, May 2013
DOI 10.1186/1745-6215-14-145
Pubmed ID
Authors

Alexander J Foss, Richard M Gregson, Daisy MacKeith, Nicola Herbison, Isabel M Ash, Sue V Cobb, Richard M Eastgate, Trish Hepburn, Anthony Vivian, Diane Moore, Stephen M Haworth, the I-BiT Steering group

Abstract

Amblyopia (lazy eye) affects the vision of approximately 2% of all children. Traditional treatment consists of wearing a patch over their 'good' eye for a number of hours daily, over several months. This treatment is unpopular and compliance is often low. Therefore results can be poor. A novel binocular treatment which uses 3D technology to present specially developed computer games and video footage (I-BiT™) has been studied in a small group of patients and has shown positive results over a short period of time. The system is therefore now being examined in a randomised clinical trial.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 2%
Brazil 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
Mexico 1 <1%
Unknown 124 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 23 18%
Student > Master 19 15%
Student > Ph. D. Student 17 13%
Researcher 15 12%
Student > Postgraduate 7 5%
Other 18 14%
Unknown 31 24%
Readers by discipline Count As %
Medicine and Dentistry 32 25%
Nursing and Health Professions 15 12%
Psychology 8 6%
Computer Science 7 5%
Neuroscience 7 5%
Other 25 19%
Unknown 36 28%