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Citing this Article

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Published on 23.03.18 in Vol 6, No 1 (2018): Jan-Mar

This paper is in the following e-collection/theme issue:

Works citing "Assessing the Readability of Medical Documents: A Ranking Approach"

Jiaping Zheng, Hong Yu

JMIR Med Inform 2018 (Mar 23); 6(1):e17 

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.8611):

(note that this is only a small subset of citations)

  1. Kirby RL, Aggour A, Chen A, Smith C, Theriault C, Matheson K. Manual wheelchair tilt-rest skill: a cross-sectional survey of awareness and capacity among wheelchair users. Disability and Rehabilitation: Assistive Technology 2019;14(6):590
    CrossRef
  2. Balyan R, Crossley SA, Brown W, Karter AJ, McNamara DS, Liu JY, Lyles CR, Schillinger D, Grabar N. Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study. PLOS ONE 2019;14(2):e0212488
    CrossRef
  3. Crossley SA, Balyan R, Liu J, Karter AJ, McNamara D, Schillinger D. Developing and Testing Automatic Models of Patient Communicative Health Literacy Using Linguistic Features: Findings from the ECLIPPSE study. Health Communication 2021;36(8):1018
    CrossRef
  4. Spasic I, Nenadic G. Clinical Text Data in Machine Learning: Systematic Review. JMIR Medical Informatics 2020;8(3):e17984
    CrossRef
  5. Schillinger D, Balyan R, Crossley SA, McNamara DS, Liu JY, Karter AJ. Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study. Health Services Research 2021;56(1):132
    CrossRef
  6. Crossley SA, Balyan R, Liu J, Karter AJ, McNamara D, Schillinger D. Predicting the readability of physicians’ secure messages to improve health communication using novel linguistic features: Findings from the ECLIPPSE study. Journal of Communication in Healthcare 2020;13(4):344
    CrossRef
  7. Lee DM, Grose E, Cross K. Internet-Based Patient Education Materials Regarding Diabetic Foot Ulcers: Readability and Quality Assessment. JMIR Diabetes 2022;7(1):e27221
    CrossRef
  8. Ji M, Liu Y, Hao T. Predicting Health Material Accessibility: Development of Machine Learning Algorithms. JMIR Medical Informatics 2021;9(9):e29175
    CrossRef
  9. Gordejeva J, Zowalla R, Pobiruchin M, Wiesner M. Readability of English, German, and Russian Disease-Related Wikipedia Pages: Automated Computational Analysis. Journal of Medical Internet Research 2022;24(5):e36835
    CrossRef
  10. Wen J, Lei L. Adjectives and adverbs in life sciences across 50 years: implications for emotions and readability in academic texts. Scientometrics 2022;127(8):4731
    CrossRef
  11. Roscoe RD, Balyan R, McNamara DS, Banawan M, Schillinger D. Automated strategy feedback can improve the readability of physicians’ electronic communications to simulated patients. International Journal of Human-Computer Studies 2023;176:103059
    CrossRef
  12. Nattam A, Vithala T, Wu T, Bindhu S, Bond G, Liu H, Thompson A, Wu DTY. Assessing the Readability of Online Patient Education Materials in Obstetrics and Gynecology Using Traditional Measures: Comparative Analysis and Limitations. Journal of Medical Internet Research 2023;25:e46346
    CrossRef
  13. Irshad S, Asif N, Ashraf U, Ashraf H. An Analysis of the Readability of Online Sarcoidosis Resources. Cureus 2024;
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/medinform.8611):

  1. Mondal H, Mondal S, Singla RK. Artificial Intelligence in Medical Virology. 2023. Chapter 3:37
    CrossRef
  2. . Wisdom, Well-Being, Win-Win. 2024. Chapter 21:283
    CrossRef