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Explain Bioinformatics to Your Grandmother!

Overview of attention for article published in PLoS Computational Biology, October 2013
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162 X users
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190 Mendeley
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10 CiteULike
Title
Explain Bioinformatics to Your Grandmother!
Published in
PLoS Computational Biology, October 2013
DOI 10.1371/journal.pcbi.1003305
Pubmed ID
Authors

Virginie Bernard, Magali Michaut

Abstract

What are you working on? You have certainly been asked that question many times, whether it be at a Saturday night party, during a discussion with your neighbors, or at a family gathering. Communicating with a lay audience about scientific subjects and making them attractive is a difficult task. But difficult or not, you will have to do it for many years, not only with your family and friends, but also with your colleagues and collaborators. So, better learn now! Although not usually taught, the ability to explain your work to others is an essential skill in science, where communication plays a key role. Using some examples of the French Regional Student Group activities, we discuss here (i) why it is important to have such communication skills, (ii) how you can get involved in these activities by using existing resources or working with people who have previous experience, and (iii) what you get out of this amazing experience. We aim to motivate you and provide you with tips and ideas to get involved in promoting scientific activities while getting all the benefits.

X Demographics

X Demographics

The data shown below were collected from the profiles of 162 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 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 3%
Brazil 5 3%
France 4 2%
Portugal 2 1%
Netherlands 2 1%
Germany 2 1%
United Kingdom 2 1%
India 2 1%
Norway 1 <1%
Other 8 4%
Unknown 156 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 54 28%
Student > Ph. D. Student 40 21%
Student > Master 30 16%
Other 12 6%
Student > Bachelor 10 5%
Other 34 18%
Unknown 10 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 44%
Biochemistry, Genetics and Molecular Biology 38 20%
Computer Science 16 8%
Medicine and Dentistry 10 5%
Engineering 4 2%
Other 23 12%
Unknown 15 8%