↓ Skip to main content

PLOS

The Spirit of Competition: To Win or Not To Win

Overview of attention for article published in PLoS Computational Biology, December 2013
Altmetric Badge

Mentioned by

twitter
7 X users

Readers on

mendeley
12 Mendeley
Title
The Spirit of Competition: To Win or Not To Win
Published in
PLoS Computational Biology, December 2013
DOI 10.1371/journal.pcbi.1003413
Pubmed ID
Authors

Teresa Szczepinska, Wataru Iwasaki, Thomas Abeel

Abstract

A competition is a contest between individuals or groups. The gain is often an award or recognition, which serves as a catalyst to motivate individuals to put forth their very best. Such events for recognition and success are part of many International Society for Computational Biology (ISCB) Student Council Regional Student Groups (RSGs) activities. These include a popular science article contest, a Wikipedia article competition, travel grants, poster and oral presentation awards during conferences, and quizzes at social events. Organizing competitions is no different than any other event; they require a lot of hard work to be successful. Each event gives remarkable organizational and social experience for students running it, while at the same time the participants of the competitions are rewarded by prizes and recognition. It gives everybody involved an opportunity to demonstrate their extraordinary talents and skills. Competitions are unique because they bring out both the best and worst in people.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 8%
United States 1 8%
Unknown 10 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Professor 2 17%
Other 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 2 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 33%
Medicine and Dentistry 3 25%
Biochemistry, Genetics and Molecular Biology 2 17%
Engineering 1 8%
Unknown 2 17%