Skip to main content
Log in

Accuracy of funding information in Scopus: a comparative case study

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

As an emerging bibliographic database, Scopus is increasingly used in academic research and evaluation practice. Compared with Web of Science, its data quality/reliability is still relatively underexplored. By using the author’s twenty-six English papers published during 2014 and 2019, this case study probes the accuracy of funding information in Scopus and shows that the accuracy of funding information collected by Web of Science is better than that of Scopus. Some obvious errors in funding acknowledgement text and funding agency fields still exist in Scopus. Therefore, Scopus needs to optimize the funding acknowledgement text identification method and improve the funding agency extraction and standardization strategy.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Notes

  1. This study finds that Scopus updates its data frequently. For example, when the author retrieved the funding information for article #21 on 11th March, 2020, all of the funding information was correct. However, when the author rechecked the data 1 day later, some funding agency information disappeared. To be consistent, this study only keeps all the data retrieved on 11th March for analysis.

References

  • Álvarez-Bornstein, B., Morillo, F., & Bordons, M. (2017). Funding acknowledgments in the Web of Science: Completeness and accuracy of collected data. Scientometrics,112(3), 1793–1812.

    Article  Google Scholar 

  • Baas, J., Schotten, M., Plume, A., Côté, G., & Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies,1(1), 377–386.

    Article  Google Scholar 

  • Franceschini, F., Maisano, D., & Mastrogiacomo, L. (2016). The museum of errors/horrors in Scopus. Journal of Informetrics,10(1), 174–182.

    Article  Google Scholar 

  • Gök, A., Rigby, J., & Shapira, P. (2016). The impact of research funding on scientific outputs: Evidence from six smaller European countries. Journal of the Association for Information Science and Technology,67(3), 715–730.

    Article  Google Scholar 

  • Grassano, N., Rotolo, D., Hutton, J., Lang, F., & Hopkins, M. M. (2017). Funding data from publication acknowledgments: Coverage, uses, and limitations. Journal of the Association for Information Science and Technology,68(4), 999–1017.

    Article  Google Scholar 

  • Kokol, P., & Vošner, H. B. (2018). Discrepancies among Scopus, Web of Science, and PubMed coverage of funding information in medical journal articles. Journal of the Medical Library Association: JMLA,106(1), 81–86.

    Article  Google Scholar 

  • Krauskopf, E. (2019). Missing documents in Scopus: The case of the journal Enfermeria Nefrologica. Scientometrics,119(1), 543–547.

    Article  Google Scholar 

  • Liu, W., Hu, G., & Tang, L. (2018). Missing author address information in Web of Science—An explorative study. Journal of Informetrics,12(3), 985–997.

    Article  Google Scholar 

  • Liu, W., Tang, L., & Hu, G. (2020). Funding information in Web of Science: An updated overview. Scientometrics,122(3), 1509–1524.

    Article  Google Scholar 

  • Morillo, F., & Álvarez-Bornstein, B. (2018). How to automatically identify major research sponsors selecting keywords from the WoS Funding Agency field. Scientometrics,117(3), 1755–1770.

    Article  Google Scholar 

  • Paul-Hus, A., Desrochers, N., & Costas, R. (2016). Characterization, description, and considerations for the use of funding acknowledgement data in Web of Science. Scientometrics,108(1), 167–182.

    Article  Google Scholar 

  • Tang, L., Hu, G., & Liu, W. (2017). Funding acknowledgment analysis: Queries and caveats. Journal of the Association for Information Science and Technology,68(3), 790–794.

    Article  Google Scholar 

  • Wang, J., & Shapira, P. (2011). Funding acknowledgement analysis: An enhanced tool to investigate research sponsorship impacts: The case of nanotechnology. Scientometrics,87(3), 563–586.

    Article  Google Scholar 

  • Xu, S., Hao, L., An, X., Zhai, D., & Pang, H. (2019). Types of DOI errors of cited references in Web of Science with a cleaning method. Scientometrics,120(3), 1427–1437.

    Article  Google Scholar 

  • Yan, E., Wu, C., & Song, M. (2018). The funding factor: A cross-disciplinary examination of the association between research funding and citation impact. Scientometrics,115(1), 369–384.

    Article  Google Scholar 

  • Zhu, J., Hu, G., & Liu, W. (2019a). DOI errors and possible solutions for Web of Science. Scientometrics,118(2), 709–718.

    Article  Google Scholar 

  • Zhu, J., Liu, F., & Liu, W. (2019b). The secrets behind Web of Science’s DOI search. Scientometrics,119(3), 1745–1753.

    Article  Google Scholar 

  • Zhu, J., & Liu, W. (2020). A tale of two databases: The use of Web of Science and Scopus in academic papers. Scientometrics,123(1), 321–335.

    Article  Google Scholar 

Download references

Acknowledgements

This research is financially supported by the National Natural Science Foundation of China (#71801189 and #71904168), Zhejiang Provincial Natural Science Foundation of China (#LQ18G030010 and #LQ18G010005) and the Humanities and Social Sciences Foundation of the Ministry of Education of China (#19YJC630101). The author takes full responsibility for any errors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weishu Liu.

Ethics declarations

Conflict of interest

The author declares that there is no conflict of interest.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, W. Accuracy of funding information in Scopus: a comparative case study. Scientometrics 124, 803–811 (2020). https://doi.org/10.1007/s11192-020-03458-w

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11192-020-03458-w

Keywords

Navigation