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Breaking the Ice and Forging Links: The Importance of Socializing in Research

Overview of attention for article published in PLoS Computational Biology, November 2013
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1 blog
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20 X users
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1 Google+ user

Citations

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47 Mendeley
Title
Breaking the Ice and Forging Links: The Importance of Socializing in Research
Published in
PLoS Computational Biology, November 2013
DOI 10.1371/journal.pcbi.1003355
Pubmed ID
Authors

Miranda Stobbe, Tarun Mishra, Geoff Macintyre

Abstract

When meeting someone for the first time-whether another PhD student, or the Founding Editor-in-chief of PLOS Computational Biology-nothing breaks the ice like eating pancakes or having drinks together. A social atmosphere provides a relaxed, informal environment where people can connect, share ideas, and form collaborations. Being able to build a network and thrive in a social environment is crucial to a successful scientific career. This article highlights the importance of bringing people together who speak the same scientific language in an informal setting. Using examples of events held by Regional Student Groups of the ISCB's Student Council, this article shows that socializing is much more than simply sharing a drink.

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 11%
Sweden 1 2%
Brazil 1 2%
Belgium 1 2%
Iran, Islamic Republic of 1 2%
Unknown 38 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Ph. D. Student 7 15%
Professor 4 9%
Student > Bachelor 3 6%
Other 3 6%
Other 12 26%
Unknown 10 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 36%
Medicine and Dentistry 4 9%
Nursing and Health Professions 2 4%
Computer Science 2 4%
Engineering 2 4%
Other 10 21%
Unknown 10 21%