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      Life Science’s Average Publishable Unit (APU) Has Increased over the Past Two Decades

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          Abstract

          Quantitative analysis of the scientific literature is important for evaluating the evolution and state of science. To study how the density of biological literature has changed over the past two decades we visually inspected 1464 research articles related only to the biological sciences from ten scholarly journals (with average Impact Factors, IF, ranging from 3.8 to 32.1). By scoring the number of data items (tables and figures), density of composite figures (labeled panels per figure or PPF), as well as the number of authors, pages and references per research publication we calculated an Average Publishable Unit or APU for 1993, 2003, and 2013. The data show an overall increase in the average ± SD number of data items from 1993 to 2013 of approximately 7±3 to 14±11 and PPF ratio of 2±1 to 4±2 per article, suggesting that the APU has doubled in size over the past two decades. As expected, the increase in data items per article is mainly in the form of supplemental material, constituting 0 to 80% of the data items per publication in 2013, depending on the journal. The changes in the average number of pages (approx. 8±3 to 10±3), references (approx. 44±18 to 56±24) and authors (approx. 5±3 to 8±9) per article are also presented and discussed. The average number of data items, figure density and authors per publication are correlated with the journal’s average IF. The increasing APU size over time is important when considering the value of research articles for life scientists and publishers, as well as, the implications of these increasing trends in the mechanisms and economics of scientific communication.

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          The history and meaning of the journal impact factor.

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            Rescuing US biomedical research from its systemic flaws.

            The long-held but erroneous assumption of never-ending rapid growth in biomedical science has created an unsustainable hypercompetitive system that is discouraging even the most outstanding prospective students from entering our profession--and making it difficult for seasoned investigators to produce their best work. This is a recipe for long-term decline, and the problems cannot be solved with simplistic approaches. Instead, it is time to confront the dangers at hand and rethink some fundamental features of the US biomedical research ecosystem.
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              The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index

              The growth rate of scientific publication has been studied from 1907 to 2007 using available data from a number of literature databases, including Science Citation Index (SCI) and Social Sciences Citation Index (SSCI). Traditional scientific publishing, that is publication in peer-reviewed journals, is still increasing although there are big differences between fields. There are no indications that the growth rate has decreased in the last 50 years. At the same time publication using new channels, for example conference proceedings, open archives and home pages, is growing fast. The growth rate for SCI up to 2007 is smaller than for comparable databases. This means that SCI was covering a decreasing part of the traditional scientific literature. There are also clear indications that the coverage by SCI is especially low in some of the scientific areas with the highest growth rate, including computer science and engineering sciences. The role of conference proceedings, open access archives and publications published on the net is increasing, especially in scientific fields with high growth rates, but this has only partially been reflected in the databases. The new publication channels challenge the use of the big databases in measurements of scientific productivity or output and of the growth rate of science. Because of the declining coverage and this challenge it is problematic that SCI has been used and is used as the dominant source for science indicators based on publication and citation numbers. The limited data available for social sciences show that the growth rate in SSCI was remarkably low and indicate that the coverage by SSCI was declining over time. National Science Indicators from Thomson Reuters is based solely on SCI, SSCI and Arts and Humanities Citation Index (AHCI). Therefore the declining coverage of the citation databases problematizes the use of this source.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                16 June 2016
                2016
                : 11
                : 6
                : e0156983
                Affiliations
                [1 ]Instituto de Bioquímica Médica (IBqM) Leopoldo de Meis, CCS, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 21941902, Brasil
                [2 ]Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York, 10461, United States of America
                [3 ]Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, United States of America
                [4 ]Department of Biomedical Engineering, Rutgers University, Piscataway, New Jersey, 08854, United States of America
                Universidad de Las Palmas de Gran Canaria, SPAIN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: RJBC. Performed the experiments: CMLR JKAT ARR RJBC AC. Analyzed the data: RJBC. Contributed reagents/materials/analysis tools: ARR. Wrote the paper: RJBC AC.

                [¤]

                Current address: Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America

                Article
                PONE-D-15-20083
                10.1371/journal.pone.0156983
                4911092
                27310929
                2b4dd287-f5fb-402c-8538-e1e9beacb306
                © 2016 Cordero 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
                : 8 May 2015
                : 23 May 2016
                Page count
                Figures: 3, Tables: 0, Pages: 14
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100003593, Conselho Nacional de Desenvolvimento Científico e Tecnológico;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100002322, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior;
                Award Recipient :
                RJBC was supported by "Science without Borders”—Young Talent Attraction Scholarship from the Conselho Nacional de Desenvolvimento Tecnológico (CnPq) e Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES).
                Categories
                Research Article
                Biology and Life Sciences
                Microbiology
                Bacteriology
                Bacterial Biochemistry
                Research and Analysis Methods
                Research Assessment
                Peer Review
                Biology and Life Sciences
                Microbiology
                Bacteriology
                Biology and Life Sciences
                Biochemistry
                Chemical Biology
                Physical Sciences
                Chemistry
                Chemical Biology
                Biology and Life Sciences
                Immunology
                Medicine and Health Sciences
                Immunology
                Biology and Life Sciences
                Neuroscience
                Cellular Neuroscience
                Biology and Life Sciences
                Microbiology
                Virology
                People and Places
                Population Groupings
                Professions
                Scientists
                Custom metadata
                A clean data set is available at https://github.com/rjbcg/AvgPubUnit.git.

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                Uncategorized

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