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Citing this Article

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Published on 27.11.17 in Vol 19, No 11 (2017): November

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

Works citing "Relationship Between the Menstrual Cycle and Timing of Ovulation Revealed by New Protocols: Analysis of Data from a Self-Tracking Health App"

Satoshi Sohda, Kenta Suzuki, Ichiro Igari

J Med Internet Res 2017 (Nov 27); 19(11):e391 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.7468):

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

  1. Bull JR, Rowland SP, Scherwitzl EB, Scherwitzl R, Danielsson KG, Harper J. Real-world menstrual cycle characteristics of more than 600,000 menstrual cycles. npj Digital Medicine 2019;2(1)
    CrossRef
  2. Goodale BM, Shilaih M, Falco L, Dammeier F, Hamvas G, Leeners B. Wearable Sensors Reveal Menses-Driven Changes in Physiology and Enable Prediction of the Fertile Window: Observational Study. Journal of Medical Internet Research 2019;21(4):e13404
    CrossRef
  3. Karasneh RA, Al-Azzam SI, Alzoubi KH, Muflih SM, Hawamdeh SS. Smartphone Applications for Period Tracking: Rating and Behavioral Change among Women Users. Obstetrics and Gynecology International 2020;2020:1
    CrossRef
  4. Levy J, Romo-Avilés N. “A good little tool to get to know yourself a bit better”: a qualitative study on users’ experiences of app-supported menstrual tracking in Europe. BMC Public Health 2019;19(1)
    CrossRef
  5. Simmons RG, Jennings V. Fertility awareness-based methods of family planning. Best Practice & Research Clinical Obstetrics & Gynaecology 2020;66:68
    CrossRef
  6. Tatsumi T, Sampei M, Saito K, Honda Y, Okazaki Y, Arata N, Narumi K, Morisaki N, Ishikawa T, Narumi S. Age-Dependent and Seasonal Changes in Menstrual Cycle Length and Body Temperature Based on Big Data. Obstetrics & Gynecology 2020;136(4):666
    CrossRef
  7. Sarker BK, Rahman M, Rahman T, Rahman T, Rahman F, Khalil JJ, Hasan M, Mahfuz SN, Ahmmed F, Miah MS, Ahmed A, Mitra D, Mridha MK, Rahman A. Factors associated with calendar literacy and last menstrual period (LMP) recall: a prospective programmatic implication to maternal health in Bangladesh. BMJ Open 2020;10(12):e036994
    CrossRef
  8. Schantz JS, Fernandez CSP, Jukic AMZ. Menstrual Cycle Tracking Applications and the Potential for Epidemiological Research: a Comprehensive Review of the Literature. Current Epidemiology Reports 2021;8(1):9
    CrossRef
  9. Luoto S, Krama T, Rubika A, Borráz-León JI, Trakimas G, Elferts D, Skrinda I, Krams R, Moore FR, Birbele E, Kaminska I, Contreras-Garduño J, Rantala MJ, Krams IA. Socioeconomic position, immune function, and its physiological markers. Psychoneuroendocrinology 2021;127:105202
    CrossRef
  10. Ford EA, Peters AE, Roman SD, McLaughlin EA, Beckett EL, Sutherland JM. A scoping review of the information provided by fertility smartphone applications. Human Fertility 2022;25(4):625
    CrossRef
  11. Komada Y, Sato M, Ikeda Y, Kami A, Masuda C, Shibata S. The Relationship between the Lunar Phase, Menstrual Cycle Onset and Subjective Sleep Quality among Women of Reproductive Age. International Journal of Environmental Research and Public Health 2021;18(6):3245
    CrossRef
  12. Gonçalves ASS, Prado DS, Silva LM. Frequency and experience in the use of menstrual cycle monitoring applications by Brazilian women. The European Journal of Contraception & Reproductive Health Care 2021;26(4):291
    CrossRef
  13. Earle S, Marston HR, Hadley R, Banks D. Use of menstruation and fertility app trackers: a scoping review of the evidence. BMJ Sexual & Reproductive Health 2021;47(2):90
    CrossRef
  14. Whitman SA, Pine KH, Thorsteinsdottir B, Organick-Lee P, Thota A, Espinoza Suarez NR, Johnston EW, Boehmer KR. Bodily Experiences of Illness and Treatment as Information Work: The Case of Chronic Kidney Disease. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1
    CrossRef
  15. Yokomizo R, Nakamura A, Sato M, Nasu R, Hine M, Urayama KY, Kishi H, Sago H, Okamoto A, Umezawa A. Smartphone application improves fertility treatment-related literacy in a large-scale virtual randomized controlled trial in Japan. npj Digital Medicine 2021;4(1)
    CrossRef
  16. Sasaki N, Akiyama H, Kawakami N, Nishi D. Preconception menstrual cycle disorder and antenatal depression: a cross-sectional study with prerecorded information. Journal of Psychosomatic Obstetrics & Gynecology 2022;43(4):411
    CrossRef
  17. . Comment on “Challenging Aspects of Research on the Influence of the Menstrual Cycle and Oral Contraceptives on Physical Performance”. Sports Medicine 2023;53(4):927
    CrossRef
  18. Hamidovic A, Dang N, Khalil D, Sun J. Association between Neuroticism and Premenstrual Affective/Psychological Symptomatology. Psychiatry International 2022;3(1):52
    CrossRef
  19. Polak K, Nora P, Perry B, Martin C, Dillon P, Thacker L, Nance S, Kornstein S, Svikis D. Licit Substance Use and Premenstrual Syndrome Symptom Severity in Female College Students. Women's Health Reports 2022;3(1):443
    CrossRef
  20. Dang N, Khalil D, Sun J, Naveed A, Soumare F, Hamidovic A. Waist Circumference and Its Association With Premenstrual Food Craving: The PHASE Longitudinal Study. Frontiers in Psychiatry 2022;13
    CrossRef
  21. Hamidovic A, Soumare F, Naveed A, Davis J. Mid-Luteal Progesterone Is Inversely Associated with Premenstrual Food Cravings. Nutrients 2023;15(5):1097
    CrossRef
  22. Hamidovic A, Davis J, Soumare F, Naveed A, Ghani Y, Semiz S, Khalil D, Wardle M. Allopregnanolone Is Associated with a Stress-Induced Reduction of Heart Rate Variability in Premenstrual Dysphoric Disorder. Journal of Clinical Medicine 2023;12(4):1553
    CrossRef
  23. Dang N, Khalil D, Sun J, Naveed A, Soumare F, Nusslock R, Hamidovic A. Behavioral Symptomatology in the Premenstruum. Brain Sciences 2022;12(7):814
    CrossRef
  24. Hamidovic A, Davis J, Soumare F, Datta A, Naveed A. Trajectories of Allopregnanolone and Allopregnanolone to Progesterone Ratio across the Six Subphases of Menstrual Cycle. Biomolecules 2023;13(4):652
    CrossRef
  25. Muehlmann M, Tomczyk S. Mobile Apps for Sexual and Reproductive Health Education: a Systematic Review and Quality Assessment. Current Sexual Health Reports 2023;15(2):77
    CrossRef
  26. Li H, Gibson EA, Jukic AMZ, Baird DD, Wilcox AJ, Curry CL, Fischer-Colbrie T, Onnela J, Williams MA, Hauser R, Coull BA, Mahalingaiah S. Menstrual cycle length variation by demographic characteristics from the Apple Women’s Health Study. npj Digital Medicine 2023;6(1)
    CrossRef
  27. Mitake S, Wada‐Hiraike O, Kashiwabara K, Nakamura A, Nasu R, Hine M, Matsuyama Y, Fujii T, Osuga Y. Distribution of the follicular and luteal phase lengths and their age‐dependent changes in Japanese women: A large population study. Reproductive Medicine and Biology 2023;22(1)
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.7468):

  1. Fedorowicz J, Sosnowski , Ślęzak D, Szymusik I, Chaber W, Miłobędzki , Penza T, Sosnowska J, Wójcicka K, Zaleski K. Rough Sets. 2019. Chapter 31:395
    CrossRef
  2. Raith-Paula E, Frank-Herrmann P. Natürliche Familienplanung heute. 2020. Chapter 14:207
    CrossRef
  3. Santos-Gago JM, Álvarez-Sabucedo L, González-Maciel R, Alonso-Rorís VM, García-Soidán JL, Wanden-Berghe C, Sanz-Valero J. New Knowledge in Information Systems and Technologies. 2019. Chapter 48:504
    CrossRef
  4. . Household Self-Tracking during a Global Health Crisis. 2022. :119
    CrossRef