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Citing this Article

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Published on 02.03.17 in Vol 19, No 3 (2017): March

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

Works citing "Readability Formulas and User Perceptions of Electronic Health Records Difficulty: A Corpus Study"

Jiaping Zheng, Hong Yu

J Med Internet Res 2017 (Mar 02); 19(3):e59 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.6962):

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

  1. 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
  2. Palotti J, Zuccon G, Hanbury A. Consumer Health Search on the Web: Study of Web Page Understandability and Its Integration in Ranking Algorithms. Journal of Medical Internet Research 2019;21(1):e10986
    CrossRef
  3. Stewart JR, Heit MH, Meriwether KV, Hobson DT, Francis SL. Analyzing the Readability of Online Urogynecologic Patient Information. Female Pelvic Medicine & Reconstructive Surgery 2019;25(1):29
    CrossRef
  4. Zheng J, Yu H. Assessing the Readability of Medical Documents: A Ranking Approach. JMIR Medical Informatics 2018;6(1):e17
    CrossRef
  5. . Quantitative Text Mining Analysis of theTestimonies for the Church: Implications for Non-Native English Readers. Journal of Research on Christian Education 2018;27(2):145
    CrossRef
  6. Yu B, He Z, Xing A, Lustria MLA. An Informatics Framework to Assess Consumer Health Language Complexity Differences: Proof-of-Concept Study. Journal of Medical Internet Research 2020;22(5):e16795
    CrossRef
  7. Alkureishi MA, Lee WW, Webb S, Arora V. Integrating Patient-Centered Electronic Health Record Communication Training into Resident Onboarding: Curriculum Development and Post-Implementation Survey Among Housestaff. JMIR Medical Education 2018;4(1):e1
    CrossRef
  8. Lalor JP, Wu H, Chen L, Mazor KM, Yu H. ComprehENotes, an Instrument to Assess Patient Reading Comprehension of Electronic Health Record Notes: Development and Validation. Journal of Medical Internet Research 2018;20(4):e139
    CrossRef
  9. Liu Y, Ji M, Lin SS, Zhao M, Lyv Z. Combining Readability Formulas and Machine Learning for Reader-oriented Evaluation of Online Health Resources. IEEE Access 2021;9:67610
    CrossRef
  10. Phan A, Jubril A, Menga E, Mesfin A. Readability of the Most Commonly Accessed Online Patient Education Materials Pertaining to Surgical Treatments of the Spine. World Neurosurgery 2021;152:e583
    CrossRef
  11. Xie W, Ji C, Hao T, Chow C. Predicting the Easiness and Complexity of English Health Materials for International Tertiary Students With Linguistically Enhanced Machine Learning Algorithms: Development and Validation Study. JMIR Medical Informatics 2021;9(10):e25110
    CrossRef
  12. Leroy G, Kauchak D, Haeger D, Spegman D. Evaluation of an online text simplification editor using manual and automated metrics for perceived and actual text difficulty. JAMIA Open 2022;5(2)
    CrossRef
  13. Plambeck B, Jiang J, Perez J, Wordekemper BE, Fu D, Colvin A, Deibert CM. Online Health Information for Penile Prosthesis Implants Lacks Quality and Is Unreadable to the Average US Patient. Cureus 2023;
    CrossRef
  14. Xu Z, Lin CA, Laffidy M, Fowks L. Perpetuating Health Disparities of Minority Groups: The Role of U.S. Newspapers in the COVID-19 Pandemic. Race and Social Problems 2022;14(4):357
    CrossRef
  15. Amanda R, Rana K, Saunders P, Tracy M, Bridges N, Poudel P, Arora A. Evaluation of the usability, content, readability and cultural appropriateness of online alcohol and other drugs resources for Aboriginal and Torres Strait Islander Peoples in New South Wales, Australia. BMJ Open 2023;13(5):e069756
    CrossRef
  16. Lin AY, Arabandi S, Beale T, Duncan WD, Hicks A, Hogan WR, Jensen M, Koppel R, Martínez-Costa C, Nytrø , Obeid JS, Oliveira JPD, Ruttenberg A, Seppälä S, Smith B, Soergel D, Zheng J, Schulz S. Improving the Quality and Utility of Electronic Health Record Data through Ontologies. Standards 2023;3(3):316
    CrossRef
  17. Sarin M, Garraffa M. Can readability formulae adapt to the changing demographics of the UK school-aged population? A study on reading materials for school-age bilingual readers. Ampersand 2023;11:100141
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.6962):

  1. Santini M, Jönsson A, Strandqvist W, Cederblad G, Nyström M, Alirezaie M, Lind L, Blomqvist E, Lindén M, Kristoffersson A. Cyber-Physical Systems for Social Applications. 2019. chapter 6:98
    CrossRef