You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
Growth rates of modern science: A bibliometric analysis based on the number of publications and cited references
Copyright policy )WileyGrowth 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 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.
- ETH Zurich Switzerland
- Max Planck Society Germany
Microsoft Academic Graph classification: Computer science Biomedical sciences History of science Information science Natural science Data science Library science Bibliometric analysis Bibliometrics
Library and Information Sciences, Information Systems and Management, Computer Networks and Communications, Information Systems
Library and Information Sciences, Information Systems and Management, Computer Networks and Communications, Information Systems
Microsoft Academic Graph classification: Computer science Biomedical sciences History of science Information science Natural science Data science Library science Bibliometric analysis Bibliometrics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).701 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Substantial influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Substantial impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Substantial citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).701 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Substantial influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Substantial impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Substantial
Citations provided by BIP!Popularity provided by BIP!
- ETH Zurich Switzerland
- Max Planck Society Germany
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.