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

By Lutz Bornmann, Rüdiger Mutz. J. Assoc. Inf. Sci. Technol., 2014

1,467 citations recorded by the source corpus.

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.

Subfields: Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e281464d9a558cc1d25084687efb75683e65d4f0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

  1. Rüdiger Mutz
  2. Robin Haunschild
  3. Lutz Bornmann
  4. Pengfei Liu
  5. Graham Neubig
  6. Paul E. Smaldino
  7. Weizhe Yuan
  8. R. Mcelreath

Citations in the corpus