<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Medical Journal of the Islamic Republic Of Iran</title>
<title_fa>مجله پزشکی جمهوری اسلامی ایران</title_fa>
<short_title>Med J Islam Repub Iran</short_title>
<subject>Medical Sciences</subject>
<web_url>http://mjiri.iums.ac.ir</web_url>
<journal_hbi_system_id>2</journal_hbi_system_id>
<journal_hbi_system_user>journal2</journal_hbi_system_user>
<journal_id_issn>1016-1430</journal_id_issn>
<journal_id_issn_online>2251-6840</journal_id_issn_online>
<journal_id_pii>8</journal_id_pii>
<journal_id_doi>10.18869/mjiri</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid>14</journal_id_sid>
<journal_id_nlai>8888</journal_id_nlai>
<journal_id_science>13</journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1398</year>
	<month>11</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2020</year>
	<month>2</month>
	<day>1</day>
</pubdate>
<volume>34</volume>
<number>1</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Coronavirus: Bibliometric analysis of scientific publications from 1968 to 2020</title>
	<subject_fa>Medical Library and Information Sciences</subject_fa>
	<subject>Medical Library and Information Sciences</subject>
	<content_type_fa>Original Research</content_type_fa>
	<content_type>Original Research</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;strong&gt;Background: &lt;/strong&gt;The World Health Organization declared the outbreak of COVID-19as a public health emergency of international concern on January 30, 2020. Therefore, relevant research metrics would be an added value for understanding the virus for researchers.&lt;br&gt;
&amp;nbsp;&amp;nbsp; &lt;strong&gt;Methods:&lt;/strong&gt; Research outputs related to the Coronavirus were retrieved from the Web of Science database from January 1968 to March 2020 and were analyzed using MS-office, Word Cloud generator, VOS viewer, and ArcGIS software. The analysis was based on the number of research publications per year, contributing author&amp;rsquo;s clustering pattern, most preferred journals, leading publication, document type, broad research areas, commonly used keywords, the geographical distribution of publications, commonly used languages, and productive institutes.&lt;br&gt;
&amp;nbsp;&amp;nbsp; &lt;strong&gt;Results: &lt;/strong&gt;The search retrieved 6424 Coronavirus research publications. The number of articles found in the year 1968 was 1, but it was 275 in 2019. A total of 33 clusters of authors contributed to studies on COVID-19 across the globe. The Journal of Virology had the most productivityon Coronavirus publications (n=810). An article published by Ksiazek TG et al in the New England Journal of Medicine had the maximum citation (n=2175); 90% of the research outputs were articles, broadly classified under Infectious diseases (n=5341); and the most commonly used keyword was &amp;lsquo;Coronavirus&amp;rsquo;. The higher number of publications was from the USA (n=2345) and the commonly used language was English (n=5948), and the most productive institute was the University of Hong Kong (n=506).&lt;br&gt;
&amp;nbsp;&amp;nbsp; &lt;strong&gt;Conclusion: &lt;/strong&gt;The results of the study showed that the growth pattern was not uniform, the United States, and the University of Hong Kong have played a major role in the contribution of Coronavirus research. Even though this depicts a higher scientific growth, it is an alarming sign to the community for preparedness. Under the prevailing situation of seeking better prevention, treatment and vaccination for COVID-19, in-depth research in the above portrayed metrics would be an added knowledge for the researchers.&lt;br&gt;
&amp;nbsp;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Coronavirus, Bibliometric, Public health, Novel coronavirus, Web of Science, COVID-19</keyword>
	<start_page>456</start_page>
	<end_page>463</end_page>
	<web_url>http://mjiri.iums.ac.ir/browse.php?a_code=A-10-5969-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Vasna </first_name>
	<middle_name></middle_name>
	<last_name>Joshua</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>vasnajoshua@yahoo.com</email>
	<code>200319475328460064069</code>
	<orcid>200319475328460064069</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Indian Council of Medical Research - National Institute of Epidemiology, Tamil Nadu Housing Board, Ayapakkam, Chennai 600 077, INDIA </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Satish </first_name>
	<middle_name></middle_name>
	<last_name>Sivaprakasam</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>yessatish@gmail.com</email>
	<code>200319475328460064070</code>
	<orcid>200319475328460064070</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Indian Council of Medical Research - National Institute of Epidemiology, Tamil Nadu Housing Board, Ayapakkam, Chennai 600 077, INDIA </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
