인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
개인구독
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Data sharing and reuse have been one of primary phenomena in a wide variety of disciplines due to the advanced information technologies. In context of data reuse, this study aims to identify the topics, disciplinary characteristics, and temporal progresses of scholarly publications using a dataset HINTS. For the purpose of this study, we analyzed a total of 283 scholarly publications using HINTS by analyzing author’s affiliation, subject categories, and bibliographic coupling. The results demonstrate that communication and public health are two leading disciplines however, due to the focus of cancer information, oncology was another area revealed by the use analysis of HINTS data. More specifically, the topics identified by HINTS research could be grouped into two categories: Cancer information behaviors and general health information behaviors. Several related studies demonstrated that health information is a key topic in health communication, and in this sense, we believe that HINTS datasets are valuable datasets focusing on health information behaviors. The analysis results of HINTS publications showed that among various subtopics of health information, health information channels and sources are main interests of communication scholars, health literacy is of public health scholars, and cancer awareness and risk perceptions are researchers from medicine and public health fields. Also, in major topics, although leaning disciplines were found, it was also notices that authors from each discipline made contributions to major topics, such as Caner perceptions, cancer awareness, health information channels, and demographic characteristics and health information behaviors.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2019-300-000789539