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Learn from the Best

Overview of attention for article published in PLoS Computational Biology, May 2014
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33 Mendeley
Title
Learn from the Best
Published in
PLoS Computational Biology, May 2014
DOI 10.1371/journal.pcbi.1003645
Pubmed ID
Authors

Virginie Bernard, Sebastian J. Schultheiss, Magali Michaut

Abstract

What is more inspiring than a discussion with the leading scientists in your field? As a student or a young researcher, you have likely been influenced by mentors guiding you in your career and leading you to your current position. Any discussion with or advice from an expert is certainly very helpful for young people. But how often do we have the opportunity to meet experts? Do we make the most out of these situations? Meetings organized for young scientists are a great opportunity not only for the attendees: they are an opportunity for experts to meet bright students and learn from them in return. In this article, we introduce several successful events organized by Regional Student Groups all around the world, bridging the gap between experts and young scientists. We highlight how rewarding it is for all participants: young researchers, experts, and organizers. We then discuss the various benefits and emphasize the importance of organizing and attending such meetings. As a young researcher, seeking mentorship and additional skills training is a crucial step in career development. Keep in mind that one day, you may be an inspiring mentor, too.

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The data shown below were collected from the profiles of 10 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 3%
Ireland 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 27%
Student > Ph. D. Student 6 18%
Professor 3 9%
Researcher 3 9%
Student > Bachelor 2 6%
Other 7 21%
Unknown 3 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 33%
Engineering 4 12%
Biochemistry, Genetics and Molecular Biology 3 9%
Psychology 3 9%
Business, Management and Accounting 2 6%
Other 6 18%
Unknown 4 12%