IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v83y2010i1d10.1007_s11192-009-0061-7.html
   My bibliography  Save this article

Using content analysis to investigate the research paths chosen by scientists over time

Author

Listed:
  • Chiara Franzoni

    (DISPEA, Politecnico di Torino)

  • Christopher L. Simpkins

    (College of Computing, Georgia Institute of Technology)

  • Baoli Li

    (College of Computing, Georgia Institute of Technology)

  • Ashwin Ram

    (College of Computing, Georgia Institute of Technology)

Abstract

We present an application of a clustering technique to a large original dataset of SCI publications which is capable at disentangling the different research lines followed by a scientist, their duration over time and the intensity of effort devoted to each of them. Information is obtained by means of software-assisted content analysis, based on the co-occurrence of words in the full abstract and title of a set of SCI publications authored by 650 American star-physicists across 17 years. We estimated that scientists in our dataset over the time span contributed on average to 16 different research lines lasting on average 3.5 years and published nearly 5 publications in each single line of research. The technique is potentially useful for scholars studying science and the research community, as well as for research agencies, to evaluate if the scientist is new to the topic and for librarians, to collect timely biographic information.

Suggested Citation

  • Chiara Franzoni & Christopher L. Simpkins & Baoli Li & Ashwin Ram, 2010. "Using content analysis to investigate the research paths chosen by scientists over time," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 321-335, April.
  • Handle: RePEc:spr:scient:v:83:y:2010:i:1:d:10.1007_s11192-009-0061-7
    DOI: 10.1007/s11192-009-0061-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-009-0061-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-009-0061-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Moed, H. F. & Burger, W. J. M. & Frankfort, J. G. & Van Raan, A. F. J., 1985. "The use of bibliometric data for the measurement of university research performance," Research Policy, Elsevier, vol. 14(3), pages 131-149, June.
    2. Hackett, Edward J. & Conz, David & Parker, John & Bashford, Jonathon & DeLay, Susan, 2004. "Tokamaks and turbulence: research ensembles, policy and technoscientific work," Research Policy, Elsevier, vol. 33(5), pages 747-767, July.
    3. Godin, Benoit, 2003. "The emergence of S&T indicators: why did governments supplement statistics with indicators?," Research Policy, Elsevier, vol. 32(4), pages 679-691, April.
    4. B. C. Peritz, 1992. "On the objectives of citation analysis: Problems of theory and method," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 43(6), pages 448-451, July.
    5. Garner, C Alan, 1979. "Academic Publication, Market Signaling, and Scientific Research Decisions," Economic Inquiry, Western Economic Association International, vol. 17(4), pages 575-584, October.
    6. Loet Leydesdorff, 2002. "Indicators of structural change in the dynamics of science: Entropy statistics of the SCI Journal Citation Reports," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(1), pages 131-159, January.
    7. Francis Narin & Gabriel Pinski & Helen Hofer Gee, 1976. "Structure of the Biomedical Literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 27(1), pages 25-45, January.
    8. Ajay Agrawal & Rebecca Henderson, 2002. "Putting Patents in Context: Exploring Knowledge Transfer from MIT," Management Science, INFORMS, vol. 48(1), pages 44-60, January.
    9. Murray, Fiona & Stern, Scott, 2007. "Do formal intellectual property rights hinder the free flow of scientific knowledge?: An empirical test of the anti-commons hypothesis," Journal of Economic Behavior & Organization, Elsevier, vol. 63(4), pages 648-687, August.
    10. Fiona E. Murray & Scott Stern, 2007. "Do Formal Intellectual Property Rights Hinder the Free Flow of Scientific Knowledge?: An Empirical Test of the Anti-Commons Hypothesis," NBER Chapters, in: Academic Science and Entrepreneurship: Dual Engines of Growth, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Conor O'Kane & James Cunningham & Vincent Mangematin, 2012. "Underpinning Strategic Behaviours and Posture of Principal Investigators in Transition/Uncertain Environments," Working paper serie RMT - Grenoble Ecole de Management hal-00794944, HAL.
    2. Anna D’Auria & Marco Tregua & Tiziana Russo Spena & Francesco Bifulco, 2017. "Multiple Context of Innovation: Insights from Literature," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(02), pages 1-15, April.
    3. Conor O'Kane & James Cunningham & Vincent Mangematin, 2012. "Underpinning Strategic Behaviours and Posture of Principal Investigators in Transition/Uncertain Environments," Working Papers hal-00794944, HAL.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mario Calderini & Chiara Franzoni & Andrea Vezzulli, 2007. "The Unequal Benefits of Academic Patenting for Science and Engineering Research," KITeS Working Papers 203, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Oct 2007.
    2. Larsen, Maria Theresa, 2011. "The implications of academic enterprise for public science: An overview of the empirical evidence," Research Policy, Elsevier, vol. 40(1), pages 6-19, February.
    3. Magerman, Tom & Looy, Bart Van & Debackere, Koenraad, 2015. "Does involvement in patenting jeopardize one’s academic footprint? An analysis of patent-paper pairs in biotechnology," Research Policy, Elsevier, vol. 44(9), pages 1702-1713.
    4. Walsh, John P. & Huang, Hsini, 2014. "Local context, academic entrepreneurship and open science: Publication secrecy and commercial activity among Japanese and US scientists," Research Policy, Elsevier, vol. 43(2), pages 245-260.
    5. Aldo Geuna & Alessandro Muscio, 2008. "The governance of University knowledge transfer," SPRU Working Paper Series 173, SPRU - Science Policy Research Unit, University of Sussex Business School.
    6. Foray, Dominique & Lissoni, Francesco, 2010. "University Research and Public–Private Interaction," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 275-314, Elsevier.
    7. Bryan, Kevin A. & Ozcan, Yasin & Sampat, Bhaven, 2020. "In-text patent citations: A user's guide," Research Policy, Elsevier, vol. 49(4).
    8. Perkmann, Markus & King, Zella & Pavelin, Stephen, 2011. "Engaging excellence? Effects of faculty quality on university engagement with industry," Research Policy, Elsevier, vol. 40(4), pages 539-552, May.
    9. Pierre Azoulay & Waverly Ding & Toby Stuart, 2009. "The Impact Of Academic Patenting On The Rate, Quality And Direction Of (Public) Research Output," Journal of Industrial Economics, Wiley Blackwell, vol. 57(4), pages 637-676, December.
    10. Francesco Lissoni & Fabio Montobbio, 2015. "The Ownership of Academic Patents and Their Impact. Evidence from Five European Countries," Revue économique, Presses de Sciences-Po, vol. 66(1), pages 143-171.
    11. James Bessen, 2010. "Communicating Technical Knowledge," Working Papers 1001, Research on Innovation.
    12. Perkmann, Markus & Walsh, Kathryn, 2008. "Engaging the scholar: Three types of academic consulting and their impact on universities and industry," Research Policy, Elsevier, vol. 37(10), pages 1884-1891, December.
    13. Bar-Ilan, Judit, 2008. "Informetrics at the beginning of the 21st century—A review," Journal of Informetrics, Elsevier, vol. 2(1), pages 1-52.
    14. Buenstorf, Guido, 2009. "Is commercialization good or bad for science? Individual-level evidence from the Max Planck Society," Research Policy, Elsevier, vol. 38(2), pages 281-292, March.
    15. Fengqing Zhang & Erjia Yan & Xin Niu & Yongjun Zhu, 2018. "Joint modeling of the association between NIH funding and its three primary outcomes: patents, publications, and citation impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 591-602, October.
    16. Perkmann, Markus & Tartari, Valentina & McKelvey, Maureen & Autio, Erkko & Broström, Anders & D’Este, Pablo & Fini, Riccardo & Geuna, Aldo & Grimaldi, Rosa & Hughes, Alan & Krabel, Stefan & Kitson, Mi, 2013. "Academic engagement and commercialisation: A review of the literature on university–industry relations," Research Policy, Elsevier, vol. 42(2), pages 423-442.
    17. Nelson, Andrew J., 2009. "Measuring knowledge spillovers: What patents, licenses and publications reveal about innovation diffusion," Research Policy, Elsevier, vol. 38(6), pages 994-1005, July.
    18. Laurent R Bergé & Thorsten Doherr & Katrin Hussinger, 2023. "How patent rights affect university science," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 32(3), pages 673-699.
    19. René Carraz, 2013. "Academic patenting and the scientific enterprise: Lessons from a Japanese university," Working Papers of BETA 2013-12, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    20. Andrew J. Nelson, 2016. "How to Share “A Really Good Secret”: Managing Sharing/Secrecy Tensions Around Scientific Knowledge Disclosure," Organization Science, INFORMS, vol. 27(2), pages 265-285, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:83:y:2010:i:1:d:10.1007_s11192-009-0061-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.