Turn the scientific method on ourselves
Author
Abstract
Suggested Citation
DOI: 10.1038/484031a
Download full text from publisher
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.
Cited by:
- Jiaying Liu & Tao Tang & Xiangjie Kong & Amr Tolba & Zafer AL-Makhadmeh & Feng Xia, 2018. "Understanding the advisor–advisee relationship via scholarly data analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 161-180, July.
- Zoltán Néda & Levente Varga & Tamás S Biró, 2017. "Science and Facebook: The same popularity law!," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-11, July.
- Albert Bravo-Biosca, 2020.
"Experimental Innovation Policy,"
Innovation Policy and the Economy, University of Chicago Press, vol. 20(1), pages 191-232.
- Albert Bravo-Biosca, 2019. "Experimental Innovation Policy," NBER Chapters, in: Innovation Policy and the Economy, Volume 20, pages 191-232, National Bureau of Economic Research, Inc.
- Albert Bravo-Biosca, 2019. "Experimental Innovation Policy," SPRU Working Paper Series 2019-19, SPRU - Science Policy Research Unit, University of Sussex Business School.
- Albert Bravo-Biosca, 2019. "Experimental Innovation Policy," NBER Working Papers 26273, National Bureau of Economic Research, Inc.
- Daniel Mietchen, 2014. "The Transformative Nature of Transparency in Research Funding," PLOS Biology, Public Library of Science, vol. 12(12), pages 1-3, December.
- Glennon, Britta & Lane, Julia & Sodhi, Ridhima, 2018. "Money for Something: The Links between Research Funding and Innovation," IZA Discussion Papers 11711, Institute of Labor Economics (IZA).
- Miguel Navascués & Costantino Budroni, 2019. "Theoretical research without projects," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-35, March.
- Yang, Alex J., 2024. "Unveiling the impact and dual innovation of funded research," Journal of Informetrics, Elsevier, vol. 18(1).
- Lu Liu & Benjamin F. Jones & Brian Uzzi & Dashun Wang, 2023. "Data, measurement and empirical methods in the science of science," Nature Human Behaviour, Nature, vol. 7(7), pages 1046-1058, July.
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:nat:nature:v:484:y:2012:i:7392:d:10.1038_484031a. 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.nature.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.