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هزینه انتشار

راهنمای داوران

دیداری‌سازی شبکه مفهومی ویروس پاپیلوم انسانی در جهان

نوع مقاله : مقاله پژوهشی

نویسندگان

1 استادیار، علم اطلاعات و دانش‌شناسی، گروه پژوهشی مدیریت اطلاعات، مرکز منطقه‌ای اطلاع‌رسانی علوم و فن‌آوری، شیراز، ایران

2 دانشجوی دکتری تخصصی، علم اطلاعات و دانش‌شناسی، گروه علم اطلاعات و دانش‌شناسی، دانشکده روان‌شناسی و علوم تربیتی، دانشگاه خوارزمی، تهران، ایران

چکیده

مقدمه: با استفاده از روش تحلیل هم‌واژگانی، ارتباط بین موضوعات علمی کشف، ساختار فکری حاکم شناسایی و جنبه‌های پژوهشی زیرمجموعه آشکار می‏گردد. هدف از انجام پژوهش حاضر، دیداری‌سازی شبکه مفهومی ویروس پاپیلوم انسانی HPV (Human Papillomavirus) در جهان بود.روش بررسی: این مطالعه به روش تحلیل هم‏واژگانی صورت گرفت. 17278 کلید واژه مستخرج از ‏‌13249 مقاله با موضوع HPV که طی بازه زمانی سال‌های 2014 تا 2018 در پایگاه Web of Science نمایه شده بود، جامعه آماری تحقیق را تشکیل داد. جهت مشخص کردن کلید واژه‌های اصلی به منظور تعیین راهبرد جستجو، از سرعنوان‌های موضوعی پزشکی MeSH (Medical Subject Headings) استفاده گردید.یافته‌ها: 126 کلید واژه پرتکرار شناسایی شد و «سرطان دهانه رحم» بیشترین فراوانی را داشت. با استفاده از خوشه‌بندی سلسله مراتبی به روش Ward، 14 خوشه موضوعی به دست آمد. بزرگ‌ترین ‌خوشه‌ با 30 کلید واژه متعلق به «علایم و بیماری‌های ناشی از HPV» بود. جهت کسب بینش جامع‌تر و بهتر پیرامون ساختار موضوعات HPV، از نقشه دو بعدی بهره گرفته شد.نتیجه‌گیری: تحلیل هم‌‏واژگانی به‌ خوبی می‌تواند ساختار علمی و فکری HPV را نمایان سازد و ابزار مناسبی جهت شناسایی موضوعات پرکاربرد HPV می‌باشد. به‌ نظر می‌رسد که پژوهش‌های HPV، رابطه تنگاتنگی با مطالعات قلمروی پزشکی و سلامت همچون پیشگیری و درمان دارد.

کلیدواژه‌ها

عنوان مقاله [English]

Visualizing Human Papillomavirus Conceptual Network Evolution: A Global View

نویسندگان [English]

  • Farshid Danesh 1
  • Somayeh Ghavidel 2

1 Assistant Professor, Knowledge and Information Science, Department of Information Management Research, Regional Information Center for Science and Technology, Shiraz, Iran

2 PhD Student, Knowledge and Information Science, Department of Knowledge and Information Science, School of Psychology and Education, Kharazmi University, Tehran, Iran

چکیده [English]

Introduction: Co-word analysis is used to identify the intellectual structure governing the research field and uncover the research aspects. The main purpose of this study is to visualize the human papillomavirus (HPV) conceptual network.Methods: The 17278 keywords extracted from the 13249 articles on the HPV indexed in the Web of Science (WoS) database from 2014-2018 constituted the study samples. The Medical Subject Headings (MeSH) was used to identify the keywords to determine the search strategy.Results: 126 repeated keywords with high frequency were identified, the most frequent of which was cervical cancer. Hierarchical clustering of findings led the researchers to 14 subject clusters, the biggest of which being HPV symptoms and disease with 30 keywords. In order to gain a more comprehensive insight into the structure of the studied subjects, the two-dimensional mapping method was used. The two most common co-word keywords were selected from each cluster.Conclusion: As suitable tool for identifying the most relevant subjects and concepts, co-word occurrence analysis could discover the intellectual structure of the HPV research field. Regarding the frequency of clusters and keywords, HPV research has a close connection with general medical research fields such as prevention and treatment.

کلیدواژه‌ها [English]

  • Human Papilloma Virus
  • Uterine Cervical Neoplasms
  • Co-Word Analysis
  • Scientometrics
  • Bibliometrics
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مدیریت اطلاعات سلامت
دوره 16، شماره 6 - شماره پیاپی 6
اسفند 1398
صفحه 301-307
فایل ها
هم رسانی
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