IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v80y2009i2d10.1007_s11192-008-2064-1.html
   My bibliography  Save this article

The relationship between reviewers’ quality-scores and number of citations for papers published in the journal Physics in Medicine and Biology from 2003–2005

Author

Listed:
  • Michael S. Patterson

    (Juravinski Cancer Centre and McMaster University)

  • Simon Harris

    (Institute of Physics Publishing)

Abstract

For each of the years 2003, 2004, and 2005 the number of citations for individual papers published in Physics in Medicine and Biology was compared to the mean quality-score assigned to the manuscript by two independent experts as part of the normal peer review process. A low but statistically significant correlation was found between citations and quality score (1 best to 5 worst) for every year: 2003: −0.227 (p

Suggested Citation

  • Michael S. Patterson & Simon Harris, 2009. "The relationship between reviewers’ quality-scores and number of citations for papers published in the journal Physics in Medicine and Biology from 2003–2005," Scientometrics, Springer;Akadémiai Kiadó, vol. 80(2), pages 343-349, August.
    • Handle: RePEc:spr:scient:v:80:y:2009:i:2:d:10.1007_s11192-008-2064-1
    DOI: 10.1007/s11192-008-2064-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-008-2064-1
    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/s11192-008-2064-1?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. Ronald N. Kostoff, 2007. "The difference between highly and poorly cited medical articles in the journal Lancet," Scientometrics, Springer;Akadémiai Kiadó, vol. 72(3), pages 513-520, September.
    2. Gerard Pasterkamp & Joris I. Rotmans & Dominique V. P. Kleijn & Cornelius Borst, 2007. "Citation frequency: A biased measure of research impact significantly influenced by the geographical origin of research articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 153-165, January.
    3. John Hudson, 2007. "Be known by the company you keep: Citations — quality or chance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 71(2), pages 231-238, May.
    4. Dag W Aksnes, 2003. "Characteristics of highly cited papers," Research Evaluation, Oxford University Press, vol. 12(3), pages 159-170, December.
    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. Qianjin Zong & Yafen Xie & Jiechun Liang, 2020. "Does open peer review improve citation count? Evidence from a propensity score matching analysis of PeerJ," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 607-623, October.
    2. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    3. André Andrian Padial & João Carlos Nabout & Tadeu Siqueira & Luis Mauricio Bini & José Alexandre Felizola Diniz-Filho, 2010. "Weak evidence for determinants of citation frequency in ecological articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 1-12, October.
    4. Lawrence Smolinsky & Daniel S. Sage & Aaron J. Lercher & Aaron Cao, 2021. "Citations versus expert opinions: citation analysis of featured reviews of the American Mathematical Society," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3853-3870, May.
    5. José Luis Ortega, 2017. "Are peer-review activities related to reviewer bibliometric performance? A scientometric analysis of Publons," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(2), pages 947-962, August.
    6. Louis Mesnard, 2010. "On Hochberg et al.’s “The tragedy of the reviewer commons”," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 903-917, September.
    7. Jacques Wainer & Paula Vieira, 2013. "Correlations between bibliometrics and peer evaluation for all disciplines: the evaluation of Brazilian scientists," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 395-410, August.
    8. Li, Jiang & Sanderson, Mark & Willett, Peter & Norris, Michael & Oppenheim, Charles, 2010. "Ranking of library and information science researchers: Comparison of data sources for correlating citation data, and expert judgments," Journal of Informetrics, Elsevier, vol. 4(4), pages 554-563.
    9. Mingyang Wang & Zhenyu Wang & Guangsheng Chen, 2019. "Which can better predict the future success of articles? Bibliometric indices or alternative metrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1575-1595, June.
    10. Thor-Erik Sandberg Hanssen & Finn Jørgensen & Berner Larsen, 2018. "The relation between the quality of research, researchers’ experience, and their academic environment," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(3), pages 933-950, March.
    11. 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.

    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. André Andrian Padial & João Carlos Nabout & Tadeu Siqueira & Luis Mauricio Bini & José Alexandre Felizola Diniz-Filho, 2010. "Weak evidence for determinants of citation frequency in ecological articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 1-12, October.
    2. Didegah, Fereshteh & Thelwall, Mike, 2013. "Which factors help authors produce the highest impact research? Collaboration, journal and document properties," Journal of Informetrics, Elsevier, vol. 7(4), pages 861-873.
    3. Bornmann, Lutz & Haunschild, Robin & Mutz, Rüdiger, 2020. "Should citations be field-normalized in evaluative bibliometrics? An empirical analysis based on propensity score matching," Journal of Informetrics, Elsevier, vol. 14(4).
    4. Li, Xin & Wen, Yang & Jiang, Jiaojiao & Daim, Tugrul & Huang, Lucheng, 2022. "Identifying potential breakthrough research: A machine learning method using scientific papers and Twitter data," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    5. Iman Tahamtan & Askar Safipour Afshar & Khadijeh Ahamdzadeh, 2016. "Factors affecting number of citations: a comprehensive review of the literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1195-1225, June.
    6. Sepideh Fahimifar & Khadijeh Mousavi & Fatemeh Mozaffari & Marcel Ausloos, 2023. "Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3685-3712, August.
    7. Mingyang Wang & Shi Li & Guangsheng Chen, 2017. "Detecting latent referential articles based on their vitality performance in the latest 2 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1557-1571, September.
    8. Daniel Torres-Salinas & Nicolás Robinson-García & Álvaro Cabezas-Clavijo & Evaristo Jiménez-Contreras, 2014. "Analyzing the citation characteristics of books: edited books, book series and publisher types in the book citation index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2113-2127, March.
    9. Quan-Hoang Vuong & Huyen Thanh T. Nguyen & Thanh-Hang Pham & Manh-Toan Ho & Minh-Hoang Nguyen, 2021. "Assessing the ideological homogeneity in entrepreneurial finance research by highly cited publications," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-11, December.
    10. Yves Gingras & Mahdi Khelfaoui, 2018. "Assessing the effect of the United States’ “citation advantage” on other countries’ scientific impact as measured in the Web of Science (WoS) database," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 517-532, February.
    11. Jeffrey Demaine, 2022. "Fractionalization of research impact reveals global trends in university collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2235-2247, May.
    12. Kong, Ling & Wang, Dongbo, 2020. "Comparison of citations and attention of cover and non-cover papers," Journal of Informetrics, Elsevier, vol. 14(4).
    13. Schreiber, Michael, 2013. "A case study of the arbitrariness of the h-index and the highly-cited-publications indicator," Journal of Informetrics, Elsevier, vol. 7(2), pages 379-387.
    14. Kurubaran Ganasegeran & Chee Peng Hor & Mohd Fadzly Amar Jamil & Purnima Devi Suppiah & Juliana Mohd Noor & Norshahida Abdul Hamid & Deik Roy Chuan & Mohd Rizal Abdul Manaf & Alan Swee Hock Ch’ng & Ir, 2021. "Mapping the Scientific Landscape of Diabetes Research in Malaysia (2000–2018): A Systematic Scientometrics Study," IJERPH, MDPI, vol. 18(1), pages 1-20, January.
    15. John N. Parker & Stefano Allesina & Christopher J. Lortie, 2013. "Characterizing a scientific elite (B): publication and citation patterns of the most highly cited scientists in environmental science and ecology," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(2), pages 469-480, February.
    16. Jinyoung Kim & Kanghyock Koh, 2014. "Incentives for Journal Editors," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(1), pages 348-371, February.
    17. Hui-Zhen Fu & Yuh-Shan Ho, 2013. "Comparison of independent research of China’s top universities using bibliometric indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(1), pages 259-276, July.
    18. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
    19. Syed Hasan & Robert Breunig, 2021. "Article length and citation outcomes," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7583-7608, September.
    20. Tian Yu & Guang Yu & Peng-Yu Li & Liang Wang, 2014. "Citation impact prediction for scientific papers using stepwise regression analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1233-1252, November.

    More about this item

    Statistics

    Access and download statistics

    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:80:y:2009:i:2:d:10.1007_s11192-008-2064-1. 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.