IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v83y2010i3d10.1007_s11192-009-0125-8.html
   My bibliography  Save this article

Scientific knowledge and digital democracy in Brazil: how to assess public health policy debate with applied Scientometrics

Author

Listed:
  • Maria Cristina Piumbato Innocentini Hayashi

    (UFSCar—Universidade Federal de São Carlos)

  • Danilo Rothberg

    (UNESP - Univ Estadual Paulista)

  • Carlos Roberto Massao Hayashi

    (UFSCar—Universidade Federal de São Carlos)

Abstract

We proposed an original research design based on applied Scientometrics and frame analysis to assess how a citation was made to sustain arguments in documents on public health policies subjected to online public consultation from 2003 to 2008 in Brazil. So we built on citation studies to create a new scale to estimate why a scientific work was mentioned in our sample of 278 citations. We found that government branches make citations mainly to value their arguments, not to explain them, and that contributors mainly make citations in such a way that could discourage others from engaging in digital democracy.

Suggested Citation

  • Maria Cristina Piumbato Innocentini Hayashi & Danilo Rothberg & Carlos Roberto Massao Hayashi, 2010. "Scientific knowledge and digital democracy in Brazil: how to assess public health policy debate with applied Scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(3), pages 825-833, June.
  • Handle: RePEc:spr:scient:v:83:y:2010:i:3:d:10.1007_s11192-009-0125-8
    DOI: 10.1007/s11192-009-0125-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-009-0125-8
    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/s11192-009-0125-8?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.

    Citations

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


    Cited by:

    1. Zhihong Huang & Qianjin Zong & Xuerui Ji, 2022. "The associations between scientific collaborations of LIS research and its policy impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6453-6470, November.
    2. Cui Huang & Chao Yang & Jun Su, 2018. "Policy change analysis based on “policy target–policy instrument” patterns: a case study of China’s nuclear energy policy," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 1081-1114, November.

    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:3:d:10.1007_s11192-009-0125-8. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.