Skip to main content
Log in

What is the best article publishing strategy for early career scientists?

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

To date, it remains unclear how different approaches to early career publishing behaviors (e.g., publishing papers in the same journal or in different journals) may benefit a young scholar’s career success. In this paper, we develop a quantitative understanding of this question, analyzing 2982 qualified authorships who have academic ages ≥ 5 years and publications ≥ 3 during the first five years of their careers from 37,542 publications in three fields of science. We defined author categories by three particular publishing behaviors, and determined how authors performed in their subsequent academic careers by using six bibliometric proxies. From the results of Welch’s ANOVA and Games–Howell multiple comparisons test, we found that the best publishing choice included publishing some of the author’s papers in the same journal. This early career publishing choice may produce a dramatic increase in career success as seen in higher numbers of publications and collaborators, and a higher h-index, with different magnitudes for different scientific fields and authorships. Our findings illustrate the role that early career publishing behavior plays in relation to future career success and indicate that in order to maximize career outcomes, an advantageous publishing strategy for early career scholars is to publish some of their papers in the same journal.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Abramo, G., D’Angelo, C., & Costa, F. (2019). Diversification versus specialization in scientific research: Which strategy pays off? Technovation,82–83, 51–57.

    Article  Google Scholar 

  • Acuna, D. E., Allesina, S., & Kording, K. P. (2012). Future impact: Predicting scientific success. Nature,489, 201–202.

    Article  Google Scholar 

  • Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics,11, 959–975.

    Article  Google Scholar 

  • Bornmann, L., & Leydesdorff, L. (2014). Scientometrics in a changing research landscape. EMBO Reports,15, 1228–1232.

    Article  Google Scholar 

  • Cameron, E. Z., Gray, M. E., & White, A. M. (2013). Is publication rate an equal opportunity metric? Trends in Ecology & Evolution,28, 7–8.

    Article  Google Scholar 

  • Carpenter, C. R., Cone, D. C., & Sarli, C. C. (2014). Using publication metrics to highlight academic productivity and research impact. Academic Emergency Medicine,21, 1160–1172.

    Article  Google Scholar 

  • Costas, R., van Leeuwen, T. N., & Bordons, M. (2010). Self-citations at the meso and individual levels: Effects of different calculation methods. Scientometrics,82, 517–537.

    Article  Google Scholar 

  • De Battisti, F., & Salini, S. (2013). Robust analysis of bibliometric data. Statistical Methods and Applications,22, 269–283.

    Article  MathSciNet  Google Scholar 

  • de Winter, J. (2013). Using the Student’s t test with extremely small sample sizes. Practical Assessment, Research & Evaluation, 18. http://pareonline.net/getvn.asp?v=18&n=10.

  • Fortunato, S., Bergstrom, C. T., Börner, K., Evans, J. A., Helbing, D., Milojević, S., et al. (2018). Science of science. Science,359, eaao0185. https://doi.org/10.1126/science.aao0185.

    Article  Google Scholar 

  • Fox, M. (2005). Gender, family characteristics, and publication productivity among scientists. Social Studies of Science,35, 131–150.

    Article  MathSciNet  Google Scholar 

  • Hirsch, J. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences of the United States of America,102, 16569–16572.

    Article  Google Scholar 

  • Kolesnikov, S., Fukumoto, E., & Bozeman, B. (2018). Researchers’ risk-smoothing publication strategies: Is productivity the enemy of impact? Scientometrics,116, 1995–2017.

    Article  Google Scholar 

  • Larivière, V., & Costas, R. (2016). How many is too many? On the relationship between research productivity and impact. PLoS ONE,11, e0162709. https://doi.org/10.1371/journal.pone.0162709.

    Article  Google Scholar 

  • Larivière, V., Ni, C. Q., Gingras, Y., Cronin, B., & Sugimoto, C. R. (2013). Bibliometrics: Global gender disparities in science. Nature,504, 211–213.

    Article  Google Scholar 

  • Lee, S., & Bozeman, B. (2005). The impact of research collaboration on scientific productivity. Social Studies of Science,35, 673–702.

    Article  Google Scholar 

  • Li, W., Aste, T., Caccioli, F., & Livan, G. (2019). Reciprocity and impact in academic careers. EPJ Data Science,8, 20. https://doi.org/10.1140/epjds/s13688-019-0199-3.

    Article  Google Scholar 

  • McCabe, M. J., & Snyder, C. M. (2014). Identifying the effect of open access on citations using a panel of science journals. Economic Inquiry,52, 1284–1300.

    Article  Google Scholar 

  • McDonald, J. H. (2014). Handbook of biological statistics (3rd ed.). Baltimore, MD: Sparky House Publishing.

    Google Scholar 

  • Milojevic, S., Radicchi, F., & Walsh, J. (2018). Changing demographics of scientific careers: The rise of the temporary workforce. Proceedings of the National Academy of Sciences of the United States of America,115, 12616–12623.

    Article  Google Scholar 

  • Ortlieb, R., & Weiss, S. (2018). What makes academic careers less insecure? The role of individual-level antecedents. Higher Education,76, 571–587.

    Article  Google Scholar 

  • Petersen, A. M. (2015). Quantifying the impact of weak, strong, and super ties in scientific careers. Proceedings of the National Academy of Sciences of the United States of America,112, E4671–E4680.

    Article  Google Scholar 

  • Sekara, V., Deville, P., Ahnert, S. E., Barabasi, A.-L., Sinatra, R., & Lehmann, S. (2018). The chaperone effect in scientific publishing. Proceedings of the National Academy of Sciences of the United States of America,115, 12603–12607.

    Article  Google Scholar 

  • Sugimoto, C. R., Sugimoto, T. J., Tsou, A., Milojević, S., & Larivière, V. (2016). Age stratification and cohort effects in scholarly communication: A study of social sciences. Scientometrics,109, 997–1016.

    Article  Google Scholar 

  • Tahamtan, I., Afshar, A. S., & Ahamdzadeh, K. (2016). Factors affecting number of citations: A comprehensive review of the literature. Scientometrics,107, 1195–1225.

    Article  Google Scholar 

  • van Dijk, D., Manor, O., & Carey, L. B. (2014). Publication metrics and success on the academic job market. Current Biology,24, R516–R517.

    Article  Google Scholar 

  • Waltman, L. (2012). An empirical analysis of the use of alphabetical authorship in scientific publishing. Journal of Informetrics,6, 700–711.

    Article  Google Scholar 

  • Wuchty, S., Jones, B. F., & Uzzi, B. (2007). The increasing dominance of teams in production of knowledge. Science,316, 1036–1039.

    Article  Google Scholar 

  • Yeo, I., & Johnson, R. (2000). A new family of power transformations to improve normality or symmetry. Biometrika,87, 954–959.

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

This work uses Scopus data provided by Elsevier B.V. The authors appreciate the anonymous referees and the handling editor for their valuable suggestions that have helped improve this paper substantially. The authors are indebted to David Nielsen at AEREA Inc. (http://aereainc.com/), Shouhua Xu at the Institute of Soil and Water Conservation, Northwest A&F University, and Juan Li at Chinese Research Academy of Environmental Sciences, for making suggestions. This study was funded by the International Partnership Program of the Chinese Academy of Sciences (161461KYSB20170013) and the Chinese Academy of Sciences “Light of West China” Program. Data and codes used in the study are available upon reasonable request.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yajie Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhang, Y., Yu, Q. What is the best article publishing strategy for early career scientists?. Scientometrics 122, 397–408 (2020). https://doi.org/10.1007/s11192-019-03297-4

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-019-03297-4

Keywords

Navigation