CONTENT ANALYSIS OF MEDICAL RESEARCH ARTICLES: A CORPUS-BASED STUDY

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

SALAMI MARYAM; JALALI ZAHRA SADAT; PAKDAMAN NAEINI MARYAM; ALAEI ARANI MOHAMMAD

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Health Information Management Year:2016 | Volume:12 | Issue:5 (45) Page(s): 595-607

Download Full-Text

Persian Verion

View:

911

Download:

Cites:

Information Journal Paper

Title

CONTENT ANALYSIS OF MEDICAL RESEARCH ARTICLES: A CORPUS-BASED STUDY

Author(s)

SALAMI MARYAM | JALALI ZAHRA SADAT | PAKDAMAN NAEINI MARYAM | ALAEI ARANI MOHAMMAD | Issue Writer Certificate

Keywords

ANALYSISQ3

COMPUTERIZED LINGUISTICSQ2

JOURNAL ARTICLEQ2

CORPUSQ2

Abstract

Introduction: Content ANALYSIS applied for comparing texts, a writer’s works with others or the same author, the texts written in a natural language with texts in other languages literature and review of specialized field. The present study aims to analyze the articles to extract the sentences structure in order to support medical researchers.Methods: This study investigates 4-word lexical bundles in medical research articles. To this end, a CORPUS of 2, 400, 000 words was established based on 33 subject areas in medicine and frequency of 20 and distribution numbers of at least 5 were considered as criterion. Word smith tools 5, Antconc3.23, ABBYY Fine Reader to professional edition were used for the identification of lexical bundles. Then, identified lexical bundles were classified according to their functions and structures in the medical research articles.Results: Totally, 102 lexical bundles with different structures and functions were identified in medical articles. The findings of the current study showed that most of the medical writers use text-oriented bundles in their articles.Conclusion: This study presents new insights in better understanding of medical research articles related to specific area and further researches in written academic discourse and English for Academic Purposes.It also broadens new horizon on areas of text ANALYSIS and text statistical assessment.

Cites

No record.

References

No record.

Cite

APA: Copy

SALAMI, MARYAM, JALALI, ZAHRA SADAT, PAKDAMAN NAEINI, MARYAM, & ALAEI ARANI, MOHAMMAD. (2016). CONTENT ANALYSIS OF MEDICAL RESEARCH ARTICLES: A CORPUS-BASED STUDY. HEALTH INFORMATION MANAGEMENT, 12(5 (45)), 595-607. SID. https://sid.ir/paper/122128/en

Vancouver: Copy

SALAMI MARYAM, JALALI ZAHRA SADAT, PAKDAMAN NAEINI MARYAM, ALAEI ARANI MOHAMMAD. CONTENT ANALYSIS OF MEDICAL RESEARCH ARTICLES: A CORPUS-BASED STUDY. HEALTH INFORMATION MANAGEMENT[Internet]. 2016;12(5 (45)):595-607. Available from: https://sid.ir/paper/122128/en

IEEE: Copy

MARYAM SALAMI, ZAHRA SADAT JALALI, MARYAM PAKDAMAN NAEINI, and MOHAMMAD ALAEI ARANI, “CONTENT ANALYSIS OF MEDICAL RESEARCH ARTICLES: A CORPUS-BASED STUDY,” HEALTH INFORMATION MANAGEMENT, vol. 12, no. 5 (45), pp. 595–607, 2016, [Online]. Available: https://sid.ir/paper/122128/en

Related Journal Papers