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Succinct effect or informative effect: the relationship between title length and the number of citations

Author

Listed:
  • Feng Guo

    (Shanghai University of Finance and Economics)

  • Chao Ma

    (Southeast University
    Yale University)

  • Qingling Shi

    (East China Normal University
    East China Normal University)

  • Qingqing Zong

    (Shanghai University of Finance and Economics)

Abstract

Previous studies produced mixed results with respect to the correlation between title length and number of citations. This research aims to provide a new explanation for this controversy by examining one of the largest pools of papers to date, containing over 300,000 economics papers spanning a much longer time period (1956–2012). The results show that correlation between title length and the number of citations is negative between 1956 and 2000, but becomes positive after 2000, when online searches became the predominant method for literature retrieval. Moreover, heterogeneity analyses show that longer titles are especially crucial for papers with relatively lower influence, which researchers can typically only access using online searches.

Suggested Citation

  • Feng Guo & Chao Ma & Qingling Shi & Qingqing Zong, 2018. "Succinct effect or informative effect: the relationship between title length and the number of citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1531-1539, September.
    • Handle: RePEc:spr:scient:v:116:y:2018:i:3:d:10.1007_s11192-018-2805-8
    DOI: 10.1007/s11192-018-2805-8
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    References listed on IDEAS

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    Cited by:

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    2. 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).
    3. Ma, Chao & Li, Yiwei & Guo, Feng & Si, Kao, 2019. "The citation trap: Papers published at year-end receive systematically fewer citations," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 667-687.
    4. Ha, Taehyun, 2022. "An explainable artificial-intelligence-based approach to investigating factors that influence the citation of papers," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    5. 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.
    6. Claudia N. Gonzalez Brambila & José I. Ponce & Silvia B. Gonzalez Brambila & Matias F. Milia, 2023. "Determining the Characteristics of Papers That Garner the Most Significant Impact: A Deep Dive into Mexican Engineering Publications," Publications, MDPI, vol. 11(4), pages 1-14, September.
    7. Qianjin Zong & Yafen Xie & Rongchan Tuo & Jingshi Huang & Yang Yang, 2019. "The impact of video abstract on citation counts: evidence from a retrospective cohort study of New Journal of Physics," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1715-1727, June.
    8. William S. Pearson, 2021. "Quoted speech in linguistics research article titles: patterns of use and effects on citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3421-3442, April.
    9. Syed Hasan & Robert Breunig, 2021. "Article length and citation outcomes," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7583-7608, September.
    10. Martorell Cunil, Onofre & Otero González, Luis & Durán Santomil, Pablo & Mulet Forteza, Carlos, 2023. "How to accomplish a highly cited paper in the tourism, leisure and hospitality field," Journal of Business Research, Elsevier, vol. 157(C).
    11. Berninger, Marc & Kiesel, Florian & Schiereck, Dirk & Gaar, Eduard, 2021. "Citations and the readers’ information-extracting costs of finance articles," Journal of Banking & Finance, Elsevier, vol. 131(C).
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    13. Sergio Jimenez & Youlin Avila & George Dueñas & Alexander Gelbukh, 2020. "Automatic prediction of citability of scientific articles by stylometry of their titles and abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 3187-3232, December.
    14. Kong, Ling & Wang, Dongbo, 2020. "Comparison of citations and attention of cover and non-cover papers," Journal of Informetrics, Elsevier, vol. 14(4).
    15. Nicole Heßler & Andreas Ziegler, 2022. "Evidence-based recommendations for increasing the citation frequency of original articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3367-3381, June.
    16. Chunli Wei & Jingyi Zhao & Jue Ni & Jiang Li, 2023. "What does open peer review bring to scientific articles? Evidence from PLoS journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2763-2776, May.
    17. 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.
    18. Lu, Wei & Liu, Zhifeng & Huang, Yong & Bu, Yi & Li, Xin & Cheng, Qikai, 2020. "How do authors select keywords? A preliminary study of author keyword selection behavior," Journal of Informetrics, Elsevier, vol. 14(4).
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    More about this item

    Keywords

    Citation; Title; Search; Scholarly impact;
    All these keywords.

    JEL classification:

    • A2 - General Economics and Teaching - - Economic Education and Teaching of Economics
    • Z1 - Other Special Topics - - Cultural Economics

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