IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v127y2022i2d10.1007_s11192-021-04214-4.html
   My bibliography  Save this article

Do negative citations reduce the impact of cited papers?

Author

Listed:
  • Linhong Xu

    (Dalian University of Technology
    Dalian University of Foreign Languages)

  • Kun Ding

    (Dalian University of Technology)

  • Yuan Lin

    (Dalian University of Technology)

Abstract

Citation is an important process of scientific activities, reflecting the inheritance and development of knowledge. However, citations representing different sentiment polarities function differently in knowledge construction, especially negative citations holding critical views, which deserve more in-depth study. This paper selected papers on SVM from 1995 to 2020, and used the stratified random sampling method to obtain 3,337 citation sentences from 46,157 citations, coding several attributes such as citation polarity, to analyze the relationship between negative citation and the impact of cited paper and the role of negative citation in the development of SVM technology. The results of the study found that negative citations do not reduce the literature impact; papers with a certain negative citation ratio would have a higher impact; and the impact of those partially dismissed papers would be even higher. In addition, negative citation presents different characteristics in different periods of the development of SVM, which has a certain promotion effect on the improvement of this technology.

Suggested Citation

  • Linhong Xu & Kun Ding & Yuan Lin, 2022. "Do negative citations reduce the impact of cited papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 1161-1186, February.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:2:d:10.1007_s11192-021-04214-4
    DOI: 10.1007/s11192-021-04214-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-021-04214-4
    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/s11192-021-04214-4?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. Agnieszka Geras & Grzegorz Siudem & Marek Gagolewski, 2020. "Should we introduce a dislike button for academic articles?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(2), pages 221-229, February.
    2. Frederique Bordignon, 2020. "Self-correction of science: a comparative study of negative citations and post-publication peer review," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1225-1239, August.
    3. Terrence A. Brooks, 1986. "Evidence of complex citer motivations," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 37(1), pages 34-36, January.
    4. Donald O. Case & Georgeann M. Higgins, 2000. "How can we investigate citation behavior? A study of reasons for citing literature in communication," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 51(7), pages 635-645.
    5. V. Cano, 1989. "Citation behavior: Classification, utility, and location," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 40(4), pages 284-290, July.
    6. Blaise Cronin & Lokman Meho, 2006. "Using the h‐index to rank influential information scientistss," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(9), pages 1275-1278, July.
    7. Erjia Yan & Zheng Chen & Kai Li, 2020. "Authors' status and the perceived quality of their work: Measuring citation sentiment change in nobel articles," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(3), pages 314-324, March.
    8. Muhammad Touseef Ikram & Muhammad Tanvir Afzal, 2019. "Aspect based citation sentiment analysis using linguistic patterns for better comprehension of scientific knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 73-95, April.
    9. Lina Zhou & Uchechukwuka Amadi & Dongsong Zhang, 2020. "Is Self-Citation Biased? An Investigation via the Lens of Citation Polarity, Density, and Location," Information Systems Frontiers, Springer, vol. 22(1), pages 77-90, February.
    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. Linhong Xu & Kun Ding & Yuan Lin & Chunbo Zhang, 2023. "Does citation polarity help evaluate the quality of academic papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 4065-4087, July.
    2. Evelyn Eika & Frode Eika Sandnes, 2022. "Starstruck by journal prestige and citation counts? On students’ bias and perceptions of trustworthiness according to clues in publication references," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6363-6390, November.

    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. Linhong Xu & Kun Ding & Yuan Lin & Chunbo Zhang, 2023. "Does citation polarity help evaluate the quality of academic papers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(7), pages 4065-4087, July.
    2. Dangzhi Zhao & Andreas Strotmann, 2020. "Telescopic and panoramic views of library and information science research 2011–2018: a comparison of four weighting schemes for author co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 255-270, July.
    3. Dongqing Lyu & Xuanmin Ruan & Juan Xie & Ying Cheng, 2021. "The classification of citing motivations: a meta-synthesis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3243-3264, April.
    4. Binglu Wang & Yi Bu & Yang Xu, 2018. "A quantitative exploration on reasons for citing articles from the perspective of cited authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 675-687, August.
    5. 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.
    6. Lina Zhou & Uchechukwuka Amadi & Dongsong Zhang, 2020. "Is Self-Citation Biased? An Investigation via the Lens of Citation Polarity, Density, and Location," Information Systems Frontiers, Springer, vol. 22(1), pages 77-90, February.
    7. Dangzhi Zhao & Andreas Strotmann, 2020. "Deep and narrow impact: introducing location filtered citation counting," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 503-517, January.
    8. Teresa H. Jones & Claire Donovan & Steve Hanney, 2012. "Tracing the wider impacts of biomedical research: a literature search to develop a novel citation categorisation technique," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 125-134, October.
    9. Nigel Harwood, 2008. "Publication outlets and their effect on academic writers’ citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 77(2), pages 253-265, November.
    10. Chao Lu & Ying Ding & Chengzhi Zhang, 2017. "Understanding the impact change of a highly cited article: a content-based citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 927-945, August.
    11. Lutz Bornmann & K. Brad Wray & Robin Haunschild, 2020. "Citation concept analysis (CCA): a new form of citation analysis revealing the usefulness of concepts for other researchers illustrated by exemplary case studies including classic books by Thomas S. K," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 1051-1074, February.
    12. Stremersch, S. & Camacho, N.M.A. & Vanneste, S. & Verniers, I.W.J., 2014. "Unraveling Scientific Impact," ERIM Report Series Research in Management ERS-2014-014-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    13. Heng Huang & Donghua Zhu & Xuefeng Wang, 2022. "Evaluating scientific impact of publications: combining citation polarity and purpose," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5257-5281, September.
    14. Stremersch, Stefan & Camacho, Nuno & Vanneste, Sofie & Verniers, Isabel, 2015. "Unraveling scientific impact: Citation types in marketing journals," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 64-77.
    15. Tahamtan, Iman & Bornmann, Lutz, 2018. "Core elements in the process of citing publications: Conceptual overview of the literature," Journal of Informetrics, Elsevier, vol. 12(1), pages 203-216.
    16. Tanzila Ahmed & Ben Johnson & Charles Oppenheim & Catherine Peck, 2004. "Highly cited old papers and the reasons why they continue to be cited. Part II., The 1953 Watson and Crick article on the structure of DNA," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(2), pages 147-156, October.
    17. Hu, Zhigang & Chen, Chaomei & Liu, Zeyuan, 2013. "Where are citations located in the body of scientific articles? A study of the distributions of citation locations," Journal of Informetrics, Elsevier, vol. 7(4), pages 887-896.
    18. Frederique Bordignon, 2022. "Critical citations in knowledge construction and citation analysis: from paradox to definition," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 959-972, February.
    19. Pardeep Sud & Mike Thelwall, 2014. "Evaluating altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1131-1143, February.
    20. Zehra Taşkın & Umut Al, 2018. "A content-based citation analysis study based on text categorization," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 335-357, January.

    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:127:y:2022:i:2:d:10.1007_s11192-021-04214-4. 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.