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Research Article

The Spread of Scientific Information: Insights from the Web Usage Statistics in PLoS Article-Level Metrics

  • Koon-Kiu Yan,

    Affiliations: Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, United States of America, Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America

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  • Mark Gerstein mail

    Mark.Gerstein@yale.edu

    Affiliations: Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, United States of America, Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America, Department of Computer Science, Yale University, New Haven, Connecticut, United States of America

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  • Published: May 16, 2011
  • DOI: 10.1371/journal.pone.0019917
  • Published in PLOS ONE

About the Authors

Koon-Kiu Yan, Mark Gerstein
Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, United States of America
Koon-Kiu Yan, Mark Gerstein
Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, United States of America
Mark Gerstein
Department of Computer Science, Yale University, New Haven, Connecticut, United States of America

Corresponding Author

Email: Mark.Gerstein@yale.edu

Competing Interests

The authors have declared that no competing interests exist.

Author Contributions

Conceived and designed the experiments: KKY MG. Performed the experiments: KKY. Analyzed the data: KKY. Contributed reagents/materials/analysis tools: KKY. Wrote the paper: KKY MG.