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      Fifty-Year Fate and Impact of General Medical Journals

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      1 , 2 , 3 , 4 , * , 1 , 1
      PLoS ONE
      Public Library of Science

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          Abstract

          Background

          Influential medical journals shape medical science and practice and their prestige is usually appraised by citation impact metrics, such as the journal impact factor. However, how permanent are medical journals and how stable is their impact over time?

          Methods and Results

          We evaluated what happened to general medical journals that were publishing papers half a century ago, in 1959. Data were retrieved from ISI Web of Science for citations and PubMed (Journals function) for journal history. Of 27 eligible journals publishing in 1959, 4 have stopped circulation (including two of the most prestigious journals in 1959) and another 7 changed name between 1959 and 2009. Only 6 of these 27 journals have been published continuously with their initial name since they started circulation. The citation impact of papers published in 1959 gives a very different picture from the current journal impact factor; the correlation between the two is non-significant and very close to zero. Only 13 of the 5,223 papers published in 1959 received at least 5 citations in 2009.

          Conclusions

          Journals are more permanent entities than single papers, but they are also subject to major change and their relative prominence can change markedly over time.

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          Most cited references19

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          The history and meaning of the journal impact factor.

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            Mapping Change in Large Networks

            Change is a fundamental ingredient of interaction patterns in biology, technology, the economy, and science itself: Interactions within and between organisms change; transportation patterns by air, land, and sea all change; the global financial flow changes; and the frontiers of scientific research change. Networks and clustering methods have become important tools to comprehend instances of these large-scale structures, but without methods to distinguish between real trends and noisy data, these approaches are not useful for studying how networks change. Only if we can assign significance to the partitioning of single networks can we distinguish meaningful structural changes from random fluctuations. Here we show that bootstrap resampling accompanied by significance clustering provides a solution to this problem. To connect changing structures with the changing function of networks, we highlight and summarize the significant structural changes with alluvial diagrams and realize de Solla Price's vision of mapping change in science: studying the citation pattern between about 7000 scientific journals over the past decade, we find that neuroscience has transformed from an interdisciplinary specialty to a mature and stand-alone discipline.
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              Why Current Publication Practices May Distort Science

              John Ioannidis and colleagues argue that the current system of publication in biomedical research provides a distorted view of the reality of scientific data.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2010
                1 September 2010
                : 5
                : 9
                : e12531
                Affiliations
                [1 ]Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina, Greece
                [2 ]Biomedical Research Institute, Foundation for Research and Technology-Hellas, Ioannina, Greece
                [3 ]Department of Medicine, Tufts Clinical and Translational Science Institute and Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts, United States of America
                [4 ]Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, United States of America
                University of Pittsburgh Medical Center, United States of America
                Author notes

                Conceived and designed the experiments: JPAI. Analyzed the data: JPAI LB EE. Wrote the paper: JPAI LB EE.

                Article
                10-PONE-RA-19402R1
                10.1371/journal.pone.0012531
                2931710
                20824146
                d8334eb3-7103-466a-9364-e2b2e725df9d
                Ioannidis et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 1 June 2010
                : 10 August 2010
                Page count
                Pages: 6
                Categories
                Research Article
                Science Policy
                Non-Clinical Medicine/History of Medicine
                Non-Clinical Medicine/Medical Journals

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                Uncategorized

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