Skip to main content
SpringerLink
Log in

Inter-country Competition and Collaboration in the miRNA Science Field

  • Conference paper
  • First Online:
Perspectives of System Informatics (PSI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11964))

  • 294 Accesses

Abstract

Many digital libraries, such as PubMed, Scopus, appeared with the growth of the Internet: thus, many scientific articles became available in the digital form. We got an opportunity to query articles metadata, gather statistics, build co-authorship graphs, etc. This includes estimating the authors/institutions activity, revealing their interactions and other properties.

In this work we present the analysis of the characteristics of institutions interactions in the miRNA science field using the data from PubMed digital library. To tackle the problem of the institution name writing variability, we proposed the k-mer/n-gram boolean feature vector sorting algorithm -KOFER. We identified the leaders of the field - China, USA -, characterized the interactions and described the country level features of co-authorship. We observed that the USA were leading in the publication activity until China took the lead 4 years ago. However, the USA are the main co-authorship driver in this field.

The work of I.T. was supported by the Federal Agency of Scientific Organizations (project #0324-2019-0040).

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ncbi.nlm.nih.gov. Home - PubMed - NCBI (2019). https://www.ncbi.nlm.nih.gov/pubmed/. Accessed 17 Jan 2019

  2. Titov, I., Blinov, A., Research of the structure and evolution of scientific co-authorship based on the analysis of Novosibirsk institutes publications in the biology and medicine science field. Vavilov J. Genet. Sel. 18 (2014)

    Google Scholar 

  3. Zhang, S., Wu, J., Zheng, D., Meng, Y., Yu, H.: An adaptive method for organization name disambiguation with feature reinforcing. In: 26th Pacific Asia Conference on Language, Information and Computation, pp. 237–245 (2012)

    Google Scholar 

  4. Polat, N.: Experiments on company name disambiguation with supervised classification techniques. In: 2013 International Conference on Electronics, Computer and Computation (ICECCO) (2013). https://doi.org/10.1109/ICECCO.2013.6718248

  5. Bell Hirschberg, J., Rosenberg, A.: V-Measure: a conditional entropy-based external cluster evaluation. In: EMNLP, Prague (2007)

    Google Scholar 

  6. Rajaraman, A., Ulman, J.: Data mining. In: I.stanford.edu (2011). http://i.stanford.edu/ullman/mmds/ch1.pdf. Accessed 20 Jan 2019

  7. Natural Language Toolkit - NLTK 3.4 documentation. In: Nltk.org. https://www.nltk.org/. Accessed 20 Jan 2019

  8. Language-check. In: PyPI. https://pypi.org/project/language-check/. Accessed 20 Jan 2019

  9. Scikit-learn: machine learning in Python - scikit-learn 0.20.2 documentation. In: Scikit-learn.org. https://scikit-learn.org/stable/. Accessed 20 Jan 2019

  10. Ester, M., Kriegel, H., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. AAAI Press (1996)

    Google Scholar 

  11. Dice, L.R.: Measures of the Amount of Ecologic Association Between Species (1945)

    Article  Google Scholar 

  12. Fortunato, S., et al.: Science of science. Science (2018). https://doi.org/10.1126/science.aao0185

    Article  Google Scholar 

  13. Cohen, W.W., Ravikumar, P.D., Fienberg, S.E.: A comparison of string distance metrics for name-matching tasks. IIWeb (2003)

    Google Scholar 

  14. Kamber, H.J.: Data Mining: Concepts and Technique. Morgan Kauffman, Burlington (2005)

    Google Scholar 

  15. Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: a review. ACM Comput. Surv. 31, 264–323 (1999)

    Article  Google Scholar 

  16. Ferreira, A.A., Gonçalves, M.A., Laender, A.H.F.: A brief survey of automatic methods for author name. SIGMOD Rec. 41, 15–26 (2012)

    Article  Google Scholar 

  17. Usoltcev, E.: meMo-Minsk - Overview. In: GitHub (2016). https://github.com/meMo-Minsk. Accessed 25 Jan 2019

  18. Gephi - The Open Graph Viz Platform. In: Gephi.org. https://gephi.org/. Accessed 25 Jan 2019

  19. Matplotlib: Python plotting - Matplotlib 3.0.2 documentation. In: Matplotlib.org. https://matplotlib.org/. Accessed 25 Jan 2019

Download references

Author information

Authors and Affiliations

  1. Institute of Informatics Systems, 6, Acad. Lavrentjev pr., Novosibirsk, 630090, Russia

    Artemiy Firsov

  2. Institute of Cytology and Genetics, Prospekt Lavrentyeva 10, Novosibirsk, 630090, Russia

    Igor Titov

  3. Novosibirsk State University, 1, Pirogova str., Novosibirsk, 630090, Russia

    Artemiy Firsov & Igor Titov

Authors
  1. Artemiy Firsov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Igor Titov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Artemiy Firsov or Igor Titov .

Editor information

Editors and Affiliations

  1. Microsoft Research, Redmond, WA, USA

    Nikolaj Bjørner

  2. AP Ershov Institute of Informatics Systems, Novosibirsk, Russia

    Irina Virbitskaite

  3. School of Computer Science, University of Manchester, Manchester, UK

    Andrei Voronkov

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Firsov, A., Titov, I. (2019). Inter-country Competition and Collaboration in the miRNA Science Field. In: Bjørner, N., Virbitskaite, I., Voronkov, A. (eds) Perspectives of System Informatics. PSI 2019. Lecture Notes in Computer Science(), vol 11964. Springer, Cham. https://doi.org/10.1007/978-3-030-37487-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-37487-7_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37486-0

  • Online ISBN: 978-3-030-37487-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation