نوع مقاله : مقاله پژوهشی

نویسندگان

1 دانشیار، علم ‌اطلاعات و دانش‌شناسی، گروه علم ‌اطلاعات و دانش‌شناسی، دانشکده علوم اجتماعی، دانشگاه یزد، یزد، ایران

2 کارشناس ارشد، علم‌سنجی، گروه علم اطلاعات و دانش شناسی، دانشکده علوم اجتماعی، دانشگاه یزد، یزد، ایران

چکیده

مقدمه: سقط جنین به معنای خاتمه دادن عمدی یا غیر عمدی بارداری قبل از این که جنین قادر به ادامه حیات در خارج از بدن مادر باشد، اطلاق می‌گردد. پژوهش حاضر با هدف تعیین خوشه‌های موضوعی و همکاری‌های علمی در مطالعات حوزه سقط جنین توسط محققان کشورهای اسلامی صورت گرفت.روش بررسی: این پژوهش از نوع توصیفی- تحلیلی بود که با رویکرد علم‌سنجی و با استفاده از روش تحلیل هم‌واژگانی و تکنیک تحلیل شبکه انجام شد. بدین ترتیب، تولیدات علمی کشورهای اسلامی در حوزه سقط جنین در پایگاه Web of Science طی سال‌های 1999 تا 2018 جستجو و استخراج گردید.یافته‌‌‌ها: بیشترین مدارک در حوزه سقط جنین به ترتیب توسط سه کشور ترکیه، ایران و مصر تولید شده‌ است. کشورهای پرتولید، همکاری بهتری در شبکه علمی داشتند. در طبقه‌بندی موضوعی، موضوعات زنان و زایمان و زیست‌شناسی تولید مثل، بیشترین فراوانی را به خود اختصاص داد. از بین 12 خوشه موضوعی شکل ‌گرفته، موضوع سقط جنین دارویی رانت موضوعی بود.نتیجه‌گیری: رویکرد بیشتر مطالعات، سقط جنین عمدی با تأکید بر سقط جنین دارویی می‌باشد. برخی موضوعات مانند تهدید به سقط، تشخیص بالینی سقط و جنبه‌‌‌های روان‌شناختی، اجتماعی و حقوقی سقط جنین، کمتر مورد توجه قرار گرفته‌ است.

کلیدواژه‌ها

عنوان مقاله [English]

Determining Thematic Clusters and Scientific Collaborations in the Documents Related to Abortion in Islamic Countries

نویسندگان [English]

  • Fatemeh Makkizadeh 1
  • Razieh Rashidi-Boshrabadi 2

1 Associate Professor, Knowledge and Information Science, Department of Knowledge and Information Science, School of Social Sciences, University of Yazd, Yazd, Iran

2 MSc, Scientometrics, Department of Knowledge and Information Science, School of Social Sciences, University of Yazd, Yazd, Iran

چکیده [English]

Introduction: Abortion refers to the intentional or unintentional termination of a pregnancy before the fetus can survive outside the mother's body. This study sought to do was to perform a thematic analysis on the field of abortion in Islamic countries.Methods: This descriptive-analytical study was performed with scientometric approach through the co-word and network analysis technique. Scientific products of Islamic countries in the abortion field were extracted from the Web of Science database from 1999 to 2018.Results: Most documents in the field of abortion were produced by three countries: Turkey, Iran, and Egypt. Countries with high production had better cooperation in the scientific network. Obstetrics and gynecology and the biology of reproduction were the most important topics for researchers. Out of 12 thematic clusters formed, the medical abortion was the main subject.Conclusion: The approach taken in the majority of the studies was on induced abortion, with an emphasis on medical abortion. Some issues such as the threat to abortion, the clinical diagnosis of abortion, and the psychological, social, and legal aspects of the abortion, have received less attention.

کلیدواژه‌ها [English]

  • Abortion
  • Co-Word Analysis
  • Hierarchical clustering
  1. Mousavi Chalak A, Riahi A. Study of scientific outputs and determined regional and international level of Islamic Republic of Iran in the field of diabetes during two last decades. Iranian Journal of Diabetes and Metabolism 2018; 17(5): 214-24. [In Persian].
  2. Mohsenni A. Abortion in Islamic jurisprudence. J Reprod Infertil 2005; 6(4): 390-7.
  3. World Health Organization. Abortion [Online]. [cited 2021]; Available from: URL: who.int/health-topics/abortion#tab=tab_1
  4. Hazeri A, Goruhi M. The intellectual structure of knowledge in the field of medical knowledge management: A co-word analysis. Health Inf Manage 2019; 16(3): 136-42. [In Persian].
  5. Javaheri M, Vakilimofrad H, Amiri M, Khasseh A. Mapping knowledge structure of obstetrics and gynecology studies: A co-word analysis. Scientometrics Research Journal 2021; 7(14): 137-56. [In Persian].
  6. Farshid R, Soheili F, Gholami H, Geraei E. Analysis of stomach cancer fields through hierarchical clustering method. Health Inf Manage 2020; 17(3): 133-9. [In Persian].
  7. Jafarzadeh R, Haseli D. Social network analysis of scientific collaboration in the field of reproductive biology in Iran. Health Inf Manage 2017; 13(6): 412-9. [In Persian].
  8. Makkizadeh F, Bigdeloo E. Scientometric analysis of researches in the field of health education to patients in PubMed database (1964-2014). J Health Syst Res 2018; 14(2): 235-43. [In Persian].
  9. Hsu WC, Li JH. Visualising and mapping the intellectual structure of medical big data. J Inf Sci 2019; 45(2): 239-58.
  10. Zhao F, Shi B, Liu R, Zhou W, Shi D, Zhang J. Theme trends and knowledge structure on choroidal neovascularization: A quantitative and co-word analysis. BMC Ophthalmol 2018; 18(1): 86.
  11. Liu GY, Hu JM, Wang HL. A co-word analysis of digital library field in China. Scientometrics 2012; 91(1): 203-17.
  12. Hu CP, Hu JM, Deng SL, Liu Y. A co-word analysis of library and information science in China. Scientometrics 2013; 97(2): 369-82.
  13. Nasiri Amiri F, Ramezani T, Simbar M, Mohammadpour Tahmtan R. Concerns of women with polycystic ovary syndrome: A qualitative study. Iran J Endocrinol Metab 2013; 15(1): 41-51. [In Persian].
  14. Amin Shokravi FA, Howden Chapman P. A study on the effective factors of unwanted pregnancies in pregnant women of Tehran city. J Reprod Infertil 2004; 5(3): 249-58. [In Persian].
  15. Mansouri S, Nourijelyani K, Nasr Esfahani Mh, Mohammad K, Eshraghian Mr, Yaseri M, et al. Investigating effective factors on intra cytoplasmic sperm injection embryo quality using the marginal and generalized additive statistical models. J North Khorasan Univ Med Sci 2011; 3(Biostatistics and Epidemiology Supplement): 115-25. [In Persian].
  16. Karimzadeh Meybodi MA, Taheripanah R. Infections in recurrent miscarriage. J Reprod Infertil 2000; 1(2): 24-34. [In Persian].
  17. Safari M, Yazdanpanah B, Yazdanpanah S. High risk pregnancy and some of related factors in women who Refered to Vasouj health and medical centers. Avicenna J Nurs Midwifery Care 2008; 16(2): 18-28. [In Persian].
  18. Zare Karizi S, Mirfakhraie R. The association study of rs3024998 and rs3025000 polymorphisms in VEGF gene with the risk of recurrent pregnancy loss. Iranian Journal Biological Sciences 2018; 12(4): 1-8. [In Persian].
  19. Vallian Borujeni S. Assessment of recurrent miscarriage and the importance of genetic factors. J Lab Diagn 2014; 6(25): 36-41. [In Persian].
  20. Farhud D, Pourkalhor H. Prenatal diagnostic methods. J Lab Diagn 2019; 11(4): 25-35. [In Persian].
  21. Cheshmyazdan M, Dehnavieh R, Bamir M, Poursheikhali A, Noori Hekmat S. The survey on the amount of scientific productions in the field of obstetrics and gynecology before and after the health reform plan, based on the Web of Science database: A sciento-metrics study. Tehran Univ Med J 2019; 77(8): 498-504. [In Persian].
  22. Chinichian M, Olakouei Naeini K, Rafiei Shirpak KH. Voluntary abortion in Iran: A qualitative study. Payesh Health Monit 2007; 6(3): 219-32. [In Persian].
  23. Vahid Roudsari F, Ayaty S, Shakeri MT. Efficacy of medical abortion by methotrexate and misoprostol administration (prostaglandin e1) at the first trimester of pregnancy. J Reprod Fertil 2007; 8(2): 155-62. [In Persian].
  24. Hariri N, Riahi A. Scientific Collaboration between Iran and Developing Countries (D8) and Some Strategies for its Promotion. Science and Technology Policy Letters 2014; 4(2): 73-86. [In Persian].