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      Open Peer Review by a Selected-Papers Network

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          Abstract

          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.

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          Alternatives to Peer Review: Novel Approaches for Research Evaluation

          In this paper we review several novel approaches for research evaluation. We start with a brief overview of the peer review, its controversies, and metrics for assessing efficiency and overall quality of the peer review. We then discuss five approaches, including reputation-based ones, that come out of the research carried out by the LiquidPub project and research groups collaborated with LiquidPub. Those approaches are alternative or complementary to traditional peer review. We discuss pros and cons of the proposed approaches and conclude with a vision for the future of the research evaluation, arguing that no single system can suit all stakeholders in various communities.
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            Peer-review research: Objections and obligations

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              Addressing Information Overload in the Scientific Community

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                Author and article information

                Journal
                Front Comput Neurosci
                Front. Comput. Neurosci.
                Frontiers in Computational Neuroscience
                Frontiers Research Foundation
                1662-5188
                07 September 2011
                24 January 2012
                2012
                : 6
                : 1
                Affiliations
                [1] 1simpleDepartment of Chemistry and Biochemistry, UCLA-DOE Institute for Genomics and Proteomics, University of California Los Angeles Los Angeles, CA, USA
                [2] 2simpleDepartment of Computer Science, UCLA-DOE Institute for Genomics and Proteomics, University of California Los Angeles Los Angeles, CA, USA
                Author notes

                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

                *Correspondence: Christopher Lee, Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, CA 90095, USA. e-mail: leec@ 123456chem.ucla.edu
                Article
                10.3389/fncom.2012.00001
                3264905
                22291635
                4bd492db-3efc-497f-8b95-d75250688cec
                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.

                History
                : 05 July 2011
                : 01 January 2012
                Page count
                Figures: 0, Tables: 1, Equations: 0, References: 23, Pages: 15, Words: 15019
                Categories
                Neuroscience
                Original Research

                Neurosciences
                publishing,journal,scientometrics,open evaluation,interdisciplinary research,peer review
                Neurosciences
                publishing, journal, scientometrics, open evaluation, interdisciplinary research, peer review

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