IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v98y2014i3d10.1007_s11192-013-1138-x.html
   My bibliography  Save this article

The relationship between scientists and science: knowledge-based innovation output

Author

Listed:
  • Erzi Tang

    (Dalian University of Technology)

  • Fengchao Liu

    (Dalian University of Technology)

  • Jia Sun

    (Dalian University of Technology)

  • Zulfqar Haider

    (Dalian University of Technology)

Abstract

Many scientists were respected by people and science has made great development in the twentieth century. What role do scientists play in the process of scientific development? Does scientific development bring more researchers into scientists? This paper mainly analyzes the two interested questions and suggests that: (a) not all researchers’ output could be attributed to scientific knowledge, only the innovative output could promote science to develop. Scientists play a more significant role than the rest researchers in scientific development in average because scientists’ innovative consciousness is far higher than that of non-scientists. (b) Distinguishing scientists from researchers in accordance with the fixed basic contribution of innovative output in the process of scientific development. Researchers’ innovative work becomes easier with the accumulated scientific knowledge growing gradually in the initial stage of scientific development. Thus, scientific development could produce more and more scientists. On the contrary, researchers’ innovative work becomes more challenged with the accumulated scientific knowledge increasing gradually while science develops to a certain stage. As a result, scientific development would make researchers become scientist increasingly difficult.

Suggested Citation

  • Erzi Tang & Fengchao Liu & Jia Sun & Zulfqar Haider, 2014. "The relationship between scientists and science: knowledge-based innovation output," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1827-1835, March.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1138-x
    DOI: 10.1007/s11192-013-1138-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-013-1138-x
    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/s11192-013-1138-x?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. Wang, Xianwen & Xu, Shenmeng & Peng, Lian & Wang, Zhi & Wang, Chuanli & Zhang, Chunbo & Wang, Xianbing, 2012. "Exploring scientists’ working timetable: Do scientists often work overtime?," Journal of Informetrics, Elsevier, vol. 6(4), pages 655-660.
    2. Branka Golub, 2002. "Motivational factors in departure of young scientists from Croatian science," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 429-445, March.
    3. Henry Small & Ann Kushmerick & Doug Benson, 2008. "Scientists’ perceptions of the social and political implications of their research," Scientometrics, Springer;Akadémiai Kiadó, vol. 74(2), pages 207-221, February.
    4. Ling Zhang & Huan Zhao & Qiushi Li & Juan Wang & Xin Tan, 2010. "Establishment of paper assessment system based on academic disciplinary benchmarks," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 421-429, August.
    Full references (including those not matched with items on IDEAS)

    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. Xuemei Wang & Mingguo Ma, 2017. "The luminous intensity of regional ‘night-light’ output can predict the growing volume of published scientific research by ‘luminaries’ in developing countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 1005-1010, February.
    2. Muhammad Salman Khan & Muhammad Younas, 2017. "Analyzing readers behavior in downloading articles from IEEE digital library: a study of two selected journals in the field of education," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1523-1537, March.
    3. Xianwen Wang & Zhichao Fang & Xiaoling Sun, 2016. "Usage patterns of scholarly articles on Web of Science: a study on Web of Science usage count," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 917-926, November.
    4. Wang, Xianwen & Wang, Zhi & Mao, Wenli & Liu, Chen, 2014. "How far does scientific community look back?," Journal of Informetrics, Elsevier, vol. 8(3), pages 562-568.
    5. Adame, Consolación & Caplliure, Eva-María & Miquel, María-José, 2016. "Work–life balance and firms: A matter of women?," Journal of Business Research, Elsevier, vol. 69(4), pages 1379-1383.
    6. Xianwen Wang & Wenli Mao & Shenmeng Xu & Chunbo Zhang, 2014. "Usage history of scientific literature: Nature metrics and metrics of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1923-1933, March.
    7. Quan’e Ren & Xuemei Gong, 2012. "Evaluation index system for academic papers of humanities and social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(3), pages 1047-1060, December.
    8. Bikun Chen & Dannan Deng & Zhouyan Zhong & Chengzhi Zhang, 2020. "Exploring linguistic characteristics of highly browsed and downloaded academic articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1769-1790, March.
    9. Guangyao Zhang & Yuqi Wang & Weixi Xie & Han Du & Chunlin Jiang & Xianwen Wang, 2021. "The open access usage advantage: a temporal and spatial analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6187-6199, July.
    10. Bikun Chen, 2018. "Usage pattern comparison of the same scholarly articles between Web of Science (WoS) and Springer," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 519-537, April.
    11. Jennifer A. Byrne & Cyril Labbé, 2017. "Striking similarities between publications from China describing single gene knockdown experiments in human cancer cell lines," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1471-1493, March.
    12. Sun, Zhuanlan & Liu, Sheng & Li, Yiwei & Ma, Chao, 2023. "Expedited editorial decision in COVID-19 pandemic," Journal of Informetrics, Elsevier, vol. 17(1).
    13. Yufeng Duan & Zequan Xiong, 2017. "Download patterns of journal papers and their influencing factors," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1761-1775, September.
    14. Baruffaldi, Stefano H. & Di Maio, Giorgio & Landoni, Paolo, 2017. "Determinants of PhD holders’ use of social networking sites: An analysis based on LinkedIn," Research Policy, Elsevier, vol. 46(4), pages 740-750.
    15. Baruffaldi, Stefano H. & Landoni, Paolo, 2012. "Return mobility and scientific productivity of researchers working abroad: The role of home country linkages," Research Policy, Elsevier, vol. 41(9), pages 1655-1665.
    16. Yu Geng & Renmeng Cao & Xiaopu Han & Wencan Tian & Guangyao Zhang & Xianwen Wang, 2022. "Scientists are working overtime: when do scientists download scientific papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6413-6429, November.
    17. Zhang, Guangyao & Xu, Shenmeng & Sun, Yao & Jiang, Chunlin & Wang, Xianwen, 2022. "Understanding the peer review endeavor in scientific publishing," Journal of Informetrics, Elsevier, vol. 16(2).
    18. Frei, Irina & Grund, Christian, 2017. "Antecedents of Overtime Work: The Case of Junior Academics," IZA Discussion Papers 11065, Institute of Labor Economics (IZA).
    19. Wang, Xianwen & Peng, Lian & Zhang, Chunbo & Xu, Shenmeng & Wang, Zhi & Wang, Chuanli & Wang, Xianbing, 2013. "Exploring scientists’ working timetable: A global survey," Journal of Informetrics, Elsevier, vol. 7(3), pages 665-675.
    20. Xianwen Wang & Zhi Wang & Shenmeng Xu, 2013. "Tracing scientist’s research trends realtimely," Scientometrics, Springer;Akadémiai Kiadó, vol. 95(2), pages 717-729, May.

    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:98:y:2014:i:3:d:10.1007_s11192-013-1138-x. 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.