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Readability and citations in information science: evidence from abstracts and articles of four journals (2003–2012)

Author

Listed:
  • Lei Lei

    (Huazhong University of Science and Technology)

  • Sheng Yan

    (Huazhong University of Science and Technology
    Central China Normal University)

Abstract

The present study analysed the readability of abstracts and full texts of the articles published in four journals of information science from 2003 to 2012. The results showed that the abstracts are very difficult to read in terms of readability indices such as FRE and SMOG. The results also showed that some of the readabilities of the abstracts and full texts changed in the examined decade, though the effect sizes were minuscule. Meanwhile, the readability scores were not significantly correlated with the number of citations. Although the readability issue of an academic text is secondary to the impact of the study, it is not suggested that the academic writers not pay any attention to the readability issue. On the contrary, it would be better if the technical texts be more readable and clearer after the knowledge or information is accurately and academically conveyed.

Suggested Citation

  • Lei Lei & Sheng Yan, 2016. "Readability and citations in information science: evidence from abstracts and articles of four journals (2003–2012)," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1155-1169, September.
    • Handle: RePEc:spr:scient:v:108:y:2016:i:3:d:10.1007_s11192-016-2036-9
    DOI: 10.1007/s11192-016-2036-9
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    References listed on IDEAS

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    6. Günter Krampen, 2008. "The evaluation of university departments and their scientists: Some general considerations with reference to exemplary bibliometric publication and citation analyses for a Department of psychology," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(1), pages 3-21, July.
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    Citations

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    Cited by:

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    2. Ju Wen & Lei Lei, 2022. "Adjectives and adverbs in life sciences across 50 years: implications for emotions and readability in academic texts," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4731-4749, August.
    3. Sungbin Youk & Hee Sun Park, 2019. "Where and what do they publish? Editors’ and editorial board members’ affiliated institutions and the citation counts of their endogenous publications in the field of communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1237-1260, September.
    4. Omar Mubin & Dhaval Tejlavwala & Mudassar Arsalan & Muneeb Ahmad & Simeon Simoff, 2018. "An assessment into the characteristics of award winning papers at CHI," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1181-1201, August.
    5. Dowling, Michael & Hammami, Helmi & Zreik, Ousayna, 2018. "Easy to read, easy to cite?," Economics Letters, Elsevier, vol. 173(C), pages 100-103.
    6. Xi Zhao & Li Li & Wei Xiao, 2023. "The diachronic change of research article abstract difficulty across disciplines: a cognitive information-theoretic approach," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    7. Ante, Lennart, 2022. "The relationship between readability and scientific impact: Evidence from emerging technology discourses," Journal of Informetrics, Elsevier, vol. 16(1).
    8. Song, Ningyuan & Chen, Kejun & Zhao, Yuehua, 2023. "Understanding writing styles of scientific papers in the IS-LS domain: Evidence from abstracts over the past three decades," Journal of Informetrics, Elsevier, vol. 17(1).
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    10. Lei Lei & Yunmei Sun, 2020. "Should highly cited items be excluded in impact factor calculation? The effect of review articles on journal impact factor," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(3), pages 1697-1706, March.
    11. Zhou-min Yuan & Mingxin Yao, 2022. "Is academic writing becoming more positive? A large-scale diachronic case study of Science research articles across 25 years," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6191-6207, November.
    12. Don Watson & Manfred Krug & Claus-Christian Carbon, 2022. "The relationship between citations and the linguistic traits of specific academic discourse communities identified by using social network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(4), pages 1755-1781, April.
    13. Tan Jin & Huiqiong Duan & Xiaofei Lu & Jing Ni & Kai Guo, 2021. "Do research articles with more readable abstracts receive higher online attention? Evidence from Science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8471-8490, October.
    14. 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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