2.2
Impact Factor

Original Research ARTICLE

Front. Comput. Neurosci., 24 January 2012 | http://dx.doi.org/10.3389/fncom.2012.00001

Open peer review by a selected-papers network

  • 1 Department of Chemistry and Biochemistry, UCLA-DOE Institute for Genomics and Proteomics, University of California Los Angeles, Los Angeles, CA, USA
  • 2 Department of Computer Science, UCLA-DOE Institute for Genomics and Proteomics, University of California Los Angeles, Los Angeles, CA, USA

A selected-papers (SP) network is a network in which researchers who read, write, and review articles subscribe to each other based on common interests. Instead of reviewing a manuscript in secret for the Editor of a journal, each reviewer simply publishes his review (typically of a paper he wishes to recommend) to his SP network subscribers. Once the SP network reviewers complete their review decisions, the authors can invite any journal editor they want to consider these reviews and initial audience size, and make a publication decision. Since all impact assessment, reviews, and revisions are complete, this decision process should be short. I show how the SP network can provide a new way of measuring impact, catalyze the emergence of new subfields, and accelerate discovery in existing fields, by providing each reader a fine-grained filter for high-impact. I present a three phase plan for building a basic SP network, and making it an effective peer review platform that can be used by journals, conferences, users of repositories such as arXiv, and users of search engines such as PubMed. I show how the SP network can greatly improve review and dissemination of research articles in areas that are not well-supported by existing journals. Finally, I illustrate how the SP network concept can work well with existing publication services such as journals, conferences, arXiv, PubMed, and online citation management sites.

Keywords: open evaluation, peer review, scientometrics, journal, publishing, interdisciplinary research

Citation: Lee C (2012) Open peer review by a selected-papers network. Front. Comput. Neurosci. 6:1. doi: 10.3389/fncom.2012.00001

Received: 05 July 2011; Paper pending published: 07 September 2011;
Accepted: 01 January 2012; Published online: 24 January 2012.

Edited by:

Diana Deca, University of Amsterdam, Netherlands

Reviewed by:

Diana Deca, University of Amsterdam, Netherlands
Rogier Kievit, University of Amsterdam, Netherlands
Aliaksandr Birukou, European Alliance for Innovation, Italy
Dwight Kravitz, National Institutes of Health, USA

Copyright: © 2012 Lee. This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited.

*Correspondence: Christopher Lee, Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, CA 90095, USA. e-mail: leec@chem.ucla.edu