Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references

Many studies (in information science) have looked at the growth of science. In this study, we reexamine the question of the growth of science. To do this we (a) use current data up to publication year 2012 and (b) analyze the data across all disciplines and also separately for the natural sciences a...

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Vydáno v:Journal of the Association for Information Science and Technology Ročník 66; číslo 11; s. 2215 - 2222
Hlavní autoři: Bornmann, Lutz, Mutz, Rüdiger
Médium: Journal Article
Jazyk:angličtina
Vydáno: Blackwell Publishing Ltd 01.11.2015
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ISSN:2330-1635, 2330-1643
On-line přístup:Získat plný text
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Abstract Many studies (in information science) have looked at the growth of science. In this study, we reexamine the question of the growth of science. To do this we (a) use current data up to publication year 2012 and (b) analyze the data across all disciplines and also separately for the natural sciences and for the medical and health sciences. Furthermore, the data were analyzed with an advanced statistical technique—segmented regression analysis—which can identify specific segments with similar growth rates in the history of science. The study is based on two different sets of bibliometric data: (a) the number of publications held as source items in the Web of Science (WoS, Thomson Reuters) per publication year and (b) the number of cited references in the publications of the source items per cited reference year. We looked at the rate at which science has grown since the mid‐1600s. In our analysis of cited references we identified three essential growth phases in the development of science, which each led to growth rates tripling in comparison with the previous phase: from less than 1% up to the middle of the 18th century, to 2 to 3% up to the period between the two world wars, and 8 to 9% to 2010.
AbstractList Many studies (in information science) have looked at the growth of science. In this study, we reexamine the question of the growth of science. To do this we (a) use current data up to publication year 2012 and (b) analyze the data across all disciplines and also separately for the natural sciences and for the medical and health sciences. Furthermore, the data were analyzed with an advanced statistical technique—segmented regression analysis—which can identify specific segments with similar growth rates in the history of science. The study is based on two different sets of bibliometric data: (a) the number of publications held as source items in the Web of Science ( WoS , T homson R euters) per publication year and (b) the number of cited references in the publications of the source items per cited reference year. We looked at the rate at which science has grown since the mid‐1600s. In our analysis of cited references we identified three essential growth phases in the development of science, which each led to growth rates tripling in comparison with the previous phase: from less than 1% up to the middle of the 18th century, to 2 to 3% up to the period between the two world wars, and 8 to 9% to 2010.
Many studies (in information science) have looked at the growth of science. In this study, we reexamine the question of the growth of science. To do this we (a) use current data up to publication year 2012 and (b) analyze the data across all disciplines and also separately for the natural sciences and for the medical and health sciences. Furthermore, the data were analyzed with an advanced statistical technique-segmented regression analysis-which can identify specific segments with similar growth rates in the history of science. The study is based on two different sets of bibliometric data: (a) the number of publications held as source items in the Web of Science (WoS, Thomson Reuters) per publication year and (b) the number of cited references in the publications of the source items per cited reference year. We looked at the rate at which science has grown since the mid-1600s. In our analysis of cited references we identified three essential growth phases in the development of science, which each led to growth rates tripling in comparison with the previous phase: from less than 1% up to the middle of the 18th century, to 2 to 3% up to the period between the two world wars, and 8 to 9% to 2010.
Author Bornmann, Lutz
Mutz, Rüdiger
Author_xml – sequence: 1
  givenname: Lutz
  surname: Bornmann
  fullname: Bornmann, Lutz
  email: bornmann@gv.mpg.de
  organization: Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Munich, Germany
– sequence: 2
  givenname: Rüdiger
  surname: Mutz
  fullname: Mutz, Rüdiger
  email: ruediger.mutz@gess.ethz.ch
  organization: Professorship for Social Psychology and Research on Higher Education, ETH Zurich, Mühlegasse 21, 8001, Zuerich, Switzerland
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References Tabah, A.N. (1999). Literature dynamics: Studies on growth, diffusion, and epidemics. Annual Review of Information Science and Technology, 34, 249-286.
van Raan, A.F.J. (2000). On growth, ageing, and fractal differentiation of science. Scientometrics, 47(2), 347-362.
SAS Institute. (2011). SAS/STAT 9.3 User's Guide. Cary, NC: SAS Institute Inc.
Brusilovskiy, E. (2004). The piecewise regression model as a response modeling tool. Baltimore: SAS Conference Proceedings.
Shuai, X., Zhou, Z., & Yost, R. (2003). Using segmented regression models to fit soil nutrient and soybean grain yield changes due to liming. Journal of Agricultural, Biological, and Environmental Statistics, 8(2), 240-252.
Bornmann, L., & Marx, W. (2013). The proposal of a broadening of perspective in evaluative bibliometrics by complementing the times cited with a cited reference analysis. Journal of Informetrics, 7(1), 84-88.
Council of Canadian Academies. (2012). Informing research choices: Indicators and judgment: The expert panel on science performance and research funding. Ottawa, Canada: Council of Canadian Academies.
Gattei, S. (2009). Karl Popper's philosophy of science rationality without foundations. New York: Routledge.
Sauter, U.H., Mutz, R., & Munro, B.D. (1999). Determining juvenile-mature wood transition in scots pine using latewood density. Wood and Fiber Science, 31(4), 416-425.
Frazzetto, G. (2004). The changing identity of the scientist. EMBO Reports, 5(1), 18-20.
Organisation for Economic Co-operation and Development. (2007). Revised field of science and technology (FOS) classification in the Frascati manual. Paris, France: Working Party of National Experts on Science and Technology Indicators, Organisation for Economic Co-operation and Developmen.
Larsen, P. O., & von Ins, M. (2010). The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index. Scientometrics, 84(3), 575-603.
Lerman, P.M. (1980). Fitting segmented regression models by grid search. Journal of the Royal Statistical Society, Series C, 29(1), 77-84.
Bornmann, L. (2013). What is societal impact of research and how can it be assessed? A literature survey. Journal of the American Society of Information Science and Technology, 64(2), 217-233.
Marx, W. (2011). Special features of historical papers from the viewpoint of bibliometrics. Journal of the American Society for Information Science and Technology, 62(3), 433-439.
Marx, W., Bornmann, L., Barth, A., & Leydesdorff, L. (2014). Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS). Journal of the American Society for Information Science and Technology (in press).
Michels, C., & Schmoch, U. (2012). The growth of science and database coverage. Scientometrics, 93(3), 831-846.
Sense About Science. (2005). "I don't know what to believe ..." Making sense of science stories. London: Sense about Science.
Mutz, R., Guilley, E., Sauter, U.H., & Nepveu, G. (2004). Modelling juvenile-mature wood transition in Scots pine (Pinus sylvestris L.) using nonlinear mixed effects-models. Annals of Forest Sciences, 61, 831-841.
Pautasso, M. (2012). Publication growth in biological sub-fields: Patterns, predictability and sustainability. Sustainability, 4(12), 3234-3247.
Popper, K.R. (1988). Auf der Suche nach einer besseren Welt. Vorträge und Aufsätze aus dreiβig Jahren (3. ed.). München, Germany: Piper.
Riviera, E. (2013). Scientific communities as autopoietic systems: The reproductive function of citations. Journal of the American Society for Information Science and Technology, 64(7), 1442-1453.
Bornmann, L., & Daniel, H.-D. (2007). Multiple publication on a single research study: Does it pay? The influence of number of research articles on total citation counts in biomedicine. Journal of the American Society for Information Science and Technology, 58(8), 1100-1107.
Kostoff, R.N., & Shlesinger, M.F. (2005). CAB: Citation-assisted background. Scientometrics, 62(2), 199-212.
Bornmann, L. (2012). Measuring the societal impact of research. EMBO Reports, 13(8), 673-676.
Evans, J.A. (2013). Future science. Science, 342(6154), 44-45.
Egghe, L., & Rousseau, R. (2000). Aging, obsolescence, impact, growth, and utilization: Definitions and relations. Journal of the American Society for Information Science, 51(11), 1004-1017.
Bornmann, L. (2011). Scientific peer review. Annual Review of Information Science and Technology, 45, 199-245.
Gould, T.H.P. (2013). Do we still need peer review? An argument for change. Plymouth, UK: Scarecrow Press.
Lariviere, V., Gingras, Y., & Archambault, E. (2006). Canadian collaboration networks: A comparative analysis of the natural sciences, social sciences and the humanities. Scientometrics, 68(3), 519-533.
Price, D.J.D. (1965). Networks of scientific papers. Science, 149(3683), 510-515.
McGee, V.E., & Carleton, W.T. (1970). Piecewise regression. Journal of the American Statistical Association, 65 (311), 1109-1124.
Price, D.J.d.S. (1961). Science since Babylon. New Haven, CT: Yale University Press.
Price, D.J.d.S. (1951). Quantitative measures of the development of science. Archives Internationales d'Histoire des Sciences, 14, 85-93.
Bornmann, L., Mutz, R., & Daniel, H.-D. (2010). The h index research output measurement: two approaches to enhance its accuracy. Journal of Informetrics, 4(3), 407-414.
de Bellis, N. (2009). Bibliometrics and citation analysis: From the Science Citation Index to Cybermetrics. Lanham, MD: Scarecrow Press.
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References_xml – reference: Council of Canadian Academies. (2012). Informing research choices: Indicators and judgment: The expert panel on science performance and research funding. Ottawa, Canada: Council of Canadian Academies.
– reference: Price, D.J.d.S. (1951). Quantitative measures of the development of science. Archives Internationales d'Histoire des Sciences, 14, 85-93.
– reference: Sense About Science. (2005). "I don't know what to believe ..." Making sense of science stories. London: Sense about Science.
– reference: Pautasso, M. (2012). Publication growth in biological sub-fields: Patterns, predictability and sustainability. Sustainability, 4(12), 3234-3247.
– reference: Evans, J.A. (2013). Future science. Science, 342(6154), 44-45.
– reference: Price, D.J.d.S. (1961). Science since Babylon. New Haven, CT: Yale University Press.
– reference: Popper, K.R. (1988). Auf der Suche nach einer besseren Welt. Vorträge und Aufsätze aus dreiβig Jahren (3. ed.). München, Germany: Piper.
– reference: Lariviere, V., Gingras, Y., & Archambault, E. (2006). Canadian collaboration networks: A comparative analysis of the natural sciences, social sciences and the humanities. Scientometrics, 68(3), 519-533.
– reference: Gould, T.H.P. (2013). Do we still need peer review? An argument for change. Plymouth, UK: Scarecrow Press.
– reference: Brusilovskiy, E. (2004). The piecewise regression model as a response modeling tool. Baltimore: SAS Conference Proceedings.
– reference: Bornmann, L., & Marx, W. (2013). The proposal of a broadening of perspective in evaluative bibliometrics by complementing the times cited with a cited reference analysis. Journal of Informetrics, 7(1), 84-88.
– reference: SAS Institute. (2011). SAS/STAT 9.3 User's Guide. Cary, NC: SAS Institute Inc.
– reference: Kostoff, R.N., & Shlesinger, M.F. (2005). CAB: Citation-assisted background. Scientometrics, 62(2), 199-212.
– reference: Egghe, L., & Rousseau, R. (2000). Aging, obsolescence, impact, growth, and utilization: Definitions and relations. Journal of the American Society for Information Science, 51(11), 1004-1017.
– reference: Marx, W. (2011). Special features of historical papers from the viewpoint of bibliometrics. Journal of the American Society for Information Science and Technology, 62(3), 433-439.
– reference: Larsen, P. O., & von Ins, M. (2010). The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index. Scientometrics, 84(3), 575-603.
– reference: Bornmann, L., Mutz, R., & Daniel, H.-D. (2010). The h index research output measurement: two approaches to enhance its accuracy. Journal of Informetrics, 4(3), 407-414.
– reference: Michels, C., & Schmoch, U. (2012). The growth of science and database coverage. Scientometrics, 93(3), 831-846.
– reference: Riviera, E. (2013). Scientific communities as autopoietic systems: The reproductive function of citations. Journal of the American Society for Information Science and Technology, 64(7), 1442-1453.
– reference: Frazzetto, G. (2004). The changing identity of the scientist. EMBO Reports, 5(1), 18-20.
– reference: Shuai, X., Zhou, Z., & Yost, R. (2003). Using segmented regression models to fit soil nutrient and soybean grain yield changes due to liming. Journal of Agricultural, Biological, and Environmental Statistics, 8(2), 240-252.
– reference: Organisation for Economic Co-operation and Development. (2007). Revised field of science and technology (FOS) classification in the Frascati manual. Paris, France: Working Party of National Experts on Science and Technology Indicators, Organisation for Economic Co-operation and Developmen.
– reference: Bornmann, L. (2013). What is societal impact of research and how can it be assessed? A literature survey. Journal of the American Society of Information Science and Technology, 64(2), 217-233.
– reference: Gattei, S. (2009). Karl Popper's philosophy of science rationality without foundations. New York: Routledge.
– reference: Price, D.J.D. (1965). Networks of scientific papers. Science, 149(3683), 510-515.
– reference: Marx, W., Bornmann, L., Barth, A., & Leydesdorff, L. (2014). Detecting the historical roots of research fields by reference publication year spectroscopy (RPYS). Journal of the American Society for Information Science and Technology (in press).
– reference: Lerman, P.M. (1980). Fitting segmented regression models by grid search. Journal of the Royal Statistical Society, Series C, 29(1), 77-84.
– reference: Bornmann, L., & Daniel, H.-D. (2007). Multiple publication on a single research study: Does it pay? The influence of number of research articles on total citation counts in biomedicine. Journal of the American Society for Information Science and Technology, 58(8), 1100-1107.
– reference: McGee, V.E., & Carleton, W.T. (1970). Piecewise regression. Journal of the American Statistical Association, 65 (311), 1109-1124.
– reference: Tabah, A.N. (1999). Literature dynamics: Studies on growth, diffusion, and epidemics. Annual Review of Information Science and Technology, 34, 249-286.
– reference: Mutz, R., Guilley, E., Sauter, U.H., & Nepveu, G. (2004). Modelling juvenile-mature wood transition in Scots pine (Pinus sylvestris L.) using nonlinear mixed effects-models. Annals of Forest Sciences, 61, 831-841.
– reference: de Bellis, N. (2009). Bibliometrics and citation analysis: From the Science Citation Index to Cybermetrics. Lanham, MD: Scarecrow Press.
– reference: Sauter, U.H., Mutz, R., & Munro, B.D. (1999). Determining juvenile-mature wood transition in scots pine using latewood density. Wood and Fiber Science, 31(4), 416-425.
– reference: Bornmann, L. (2012). Measuring the societal impact of research. EMBO Reports, 13(8), 673-676.
– reference: van Raan, A.F.J. (2000). On growth, ageing, and fractal differentiation of science. Scientometrics, 47(2), 347-362.
– reference: Bornmann, L. (2011). Scientific peer review. Annual Review of Information Science and Technology, 45, 199-245.
– volume: 13
  start-page: 673
  issue: 8
  year: 2012
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  article-title: Measuring the societal impact of research
  publication-title: EMBO Reports
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  publication-title: Annual Review of Information Science and Technology
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  publication-title: Wood and Fiber Science
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  publication-title: Scientometrics
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Snippet Many studies (in information science) have looked at the growth of science. In this study, we reexamine the question of the growth of science. To do this we...
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Citation analysis
Documents
Health
Medical
Phases
Regression
Segments
Title Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references
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Volume 66
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